A context-fusion framework for enhancing context-awareness on mobile application

Mobile devices and smartphones have become a significant communication channel for everyday life. The sensing capabilities of mobile devices are expanding rapidly, and sensors embedded in these devices are cheaper and more powerful than before. It is evident that mobile devices have become the most suitable candidates to sense contextual information without needing extra tools. However, current research shows only a limited number of sensors are being explored and investigated. As a result, it still needs to be clarified what forms of contextual information extracted from mo- bile sensors are useful. Therefore, this research investigates the context sensing using current mobile sensors, the study follows experimental methods and sensor data is evaluated and synthesised, in order to deduce the value of various sensors and combinations of sensor for the use in context-aware mobile applications. This study aims to develop a context fusion framework that will enhance the context-awareness on mobile applications, as well as exploring innovative techniques for context sensing on smartphone devices.

Context modelling for natural Human Computer Interaction applications in e-health

The conception of IoT (Internet of Things) is accepted as the future tendency of Internet among academia and industry. It will enable people and things to be connected at anytime and anyplace, with anything and anyone. IoT has been proposed to be applied into many areas such as Healthcare, Transportation，Logistics, and Smart environment etc. However, this thesis emphasizes on the home healthcare area as it is the potential healthcare model to solve many problems such as the limited medical resources, the increasing demands for healthcare from elderly and chronic patients which the traditional model is not capable of. A remarkable change in IoT in semantic oriented vision is that vast sensors or devices are involved which could generate enormous data. Methods to manage the data including acquiring, interpreting, processing and storing data need to be implemented. Apart from this, other abilities that IoT is not capable of are concluded, namely, interoperation, context awareness and security & privacy. Context awareness is an emerging technology to manage and take advantage of context to enable any type of system to provide personalized services. The aim of this thesis is to explore ways to facilitate context awareness in IoT. In order to realize this objective, a preliminary research is carried out in this thesis. The most basic premise to realize context awareness is to collect, model, understand, reason and make use of context. A complete literature review for the existing context modelling and context reasoning techniques is conducted. The conclusion is that the ontology-based context modelling and ontology-based context reasoning are the most promising and efficient techniques to manage context. In order to fuse ontology into IoT, a specific ontology-based context awareness framework is proposed for IoT applications. In general, the framework is composed of eight components which are hardware, UI (User Interface), Context modelling, Context fusion, Context reasoning, Context repository, Security unit and Context dissemination. Moreover, on the basis of TOVE (Toronto Virtual Enterprise), a formal ontology developing methodology is proposed and illustrated which consists of four stages: Specification & Conceptualization, Competency Formulation, Implementation and Validation & Documentation. In addition, a home healthcare scenario is elaborated by listing its well-defined functionalities. Aiming at representing this specific scenario, the proposed ontology developing methodology is applied and the ontology-based model is developed in a free and open-source ontology editor called Protégé. Finally, the accuracy and completeness of the proposed ontology are validated to show that this proposed ontology is able to accurately represent the scenario of interest.

Multi-scale study of hydrogen isotopes structural properties in solid phase in the context of inertial fusion target manufacturing

Designing the ignition and high-gain targets for inertial confinement fusion (ICF) requires a condensed uniform layer of the hydrogen fuel on the inner surface of a spherical polymer shell. The fuel layers have to be highly uniform in thickness and roughness.

Multi-Hypotheses Tracking using the Dempster–Shafer Theory, application to ambiguous road context

This paper presents a Multi-Hypotheses Tracking (MHT) approach that allows solving ambiguities that arise with previous methods of associating targets and tracks within a highly volatile vehicular environment. The previous approach based on the Dempster–Shafer Theory assumes that associations between tracks and targets are unique; this was shown to allow the formation of ghost tracks when there was too much ambiguity or conflict for the system to take a meaningful decision. The MHT algorithm described in this paper removes this uniqueness condition, allowing the system to include ambiguity and even to prevent making any decision if available data are poor. We provide a general introduction to the Dempster–Shafer Theory and present the previously used approach. Then, we explain our MHT mechanism and provide evidence of its increased performance in reducing the amount of ghost tracks and false positive processed by the tracking system.

A Context-Dependent Algorithm for Merging Uncertain Information in Possibility Theory

The need to merge multiple sources of uncertaininformation is an important issue in many application areas,especially when there is potential for contradictions betweensources. Possibility theory offers a flexible framework to represent,and reason with, uncertain information, and there isa range of merging operators, such as the conjunctive anddisjunctive operators, for combining information. However, withthe proposals to date, the context of the information to be mergedis largely ignored during the process of selecting which mergingoperators to use. To address this shortcoming, in this paper,we propose an adaptive merging algorithm which selects largelypartially maximal consistent subsets (LPMCSs) of sources, thatcan be merged through relaxation of the conjunctive operator, byassessing the coherence of the information in each subset. In thisway, a fusion process can integrate both conjunctive and disjunctiveoperators in a more flexible manner and thereby be morecontext dependent. A comparison with related merging methodsshows how our algorithm can produce a more consensual result.

Adaptive uncertain information fusion to enhance plan selection in BDI agent systems

Correctly modelling and reasoning with uncertain information from heterogeneous sources in large-scale systems is critical when the reliability is unknown and we still want to derive adequate conclusions. To this end, context-dependent merging strategies have been proposed in the literature. In this paper we investigate how one such context-dependent merging strategy (originally defined for possibility theory), called largely partially maximal consistent subsets (LPMCS), can be adapted to Dempster-Shafer (DS) theory. We identify those measures for the degree of uncertainty and internal conflict that are available in DS theory and show how they can be used for guiding LPMCS merging. A simplified real-world power distribution scenario illustrates our framework. We also briefly discuss how our approach can be incorporated into a multi-agent programming language, thus leading to better plan selection and decision making.

Development of a bifunctional CD1d-anti-HER2 scFv fusion molecule to redirect the iNKT cell-mediated immune response to the tumor site

Abstract : Invariant natural killer T lymphocytes (iNKT) are a unique subpopulation of T lymphocytes recognizing glycolipid antigens in the context of the MHC class I-like molecule CD1d. Upon activation with the high affinity ligand α-galactosylceramide (αGalCer), iNKT cells rapidly produce large amounts of the pro-inflammatory cytokine interferon gamma (IFN-γ) and potently activate cells of the innate and adaptive immune response, such as dendritic cells (DCs), NK and T cells. In this context, iNKT cells have been shown to efficiently mediate antitumor activity, and recent research has focused on the manipulation of these cells for antitumor therapies. However, a major drawback of αGalCer as a free drug is that a single injection of this ligand leads to a short-lived iNKT cell activation followed by a long-term anergy, limiting its therapeutic use. In contrast, we demonstrate here that when αGalCer is loaded on a recombinant soluble CD1d molecule (αGalCer/sCD1d), repeated injections lead to a sustained iNKT and NK cell activation associated with IFN-γ secretion as well as with DC maturation. Most importantly, when the αGalCer/sCD1d is fused to an anti-HER2 scFv antibody fragment, potent inhibition of experimental lung metastasis and established subcutaneous tumors is obtained when systemic treatment is started two to seven days after the injection of HER2-expressing B16 melanoma cells, whereas at this time free αGalCer has no effect. The antitumor activity of the sCD1d-anti-HER2 fusion protein is associated with HER2-specific tumor localization and accumulation of iNKT, NK and T cells at the tumor site. Importantly, active T cell immunization combined with the sCD1d-anti-HER2 treatment leads to the accumulation of antigen-specific CD8 T cells exclusively in HER2-expressing tumors, resulting in potent tumor inhibition. In conclusion, sustained activation and tumor targeting of iNKT cells by recombinant αGalCer/sCD1d molecules thus may promote a combined innate and adaptive immune response at the tumor site that may prove to be effective in cancer immunotherapy. RESUME : Les lymphocytes «invariant Natural Killer T » (iNKT) forment une sous-population particulière de lymphocytes T reconnaissant des antigènes glycolipidiques présentés sur la molécule non-polymorphique CD1d, analogue aux protéines du complexe majeur d'histocompatibilité de classe I. Après activation avec le ligand de haute affinité α-galactosylceramide (αGalCer), les cellules iNKT produisent des grandes quantités de la cytokine pro-inflammatoire interferon gamma (IFN-γ) et activent les cellules du système immunitaire inné et acquis, telles que les cellules dendritiques (DC), NK et T. En conséquence, on a montré que les cellules iNKT exercent des activités anti-tumorales et la recherche s'est intéressée à la manipulation de ces cellules pour développer des thérapies anti-tumorales. Néanmoins, le désavantage majeur de l'αGalCer, injecté seul, est qu'une seule dose de ce ligand aboutit à une activation des cellules iNKT de courte durée suivie par un état anergique prolongé, limitant l'utilisation thérapeutique de ce glycolipide. En revanche, l'étude présentée ici démontre que, si l'αGalCer est chargé sur des molécules récombinantes soluble CD1d (αGalCer/sCDld), des injections répétées aboutissent à une activation prolongée des cellules iNKT et NK associée avec la sécrétion d'IFN-γ et la maturation des cellules DC. Plus important, si on fusionne la molécule αGalCer/sCD1d avec un fragment single-chain (scFv) de l'anticorps anti-HER2, on observe une importante inhibition de métastases expérimentales aux poumons et de tumeurs sous-cutanées même lorsque le traitement systémique est commencé 2 à 7 jours après la greffe des cellules de mélanome B16 transfectées avec l'antigène HER2. Dans les mêmes conditions le traitement avec l'αGalCer seul est inefficace. L'activité anti-tumorale de la protéine sCDld-anti-HER2 est associée à son accumulation spécifique dans des tumeurs exprimant le HER2 ainsi qu'avec une accumulation des cellules iNKT, NK et T à la tumeur. De plus, une immunisation active combinée avec le traitement sCD1d-anti-HER2 aboutit à une accumulation des lymphocytes T CD8 spécifiques de l'antigène d'immunisation, ceci exclusivement dans des tumeurs qui expriment l'antigène HER2. Cette combinaison résulte dans une activité anti-tumeur accrue. En conclusion, l'activation prolongée des cellules iNKT redirigées à la tumeur par des molécules recombinantes αGalCer/sCDld conduit à l'activation de la réponse innée et adaptative au site tumoral, offrant une nouvelle stratégie prometteuse d'immunothérapie contre le cancer. RESUME POUR UN LARGE PUBLIC : Le cancer est une cause majeure de décès dans le monde. Sur un total de 58 millions de décès enregistrés au niveau mondial en 2005, 7,6 millions (soit 13%) étaient dus au cancer. Les principaux traitements de nombreux cancers sont la chirurgie, en association avec la radiothérapie et la chimiothérapie. Néanmoins, ces traitements nuisent aussi aux cellules normales de notre corps et parfois, ils ne suffisent pas pour éliminer définitivement une tumeur. L'immunothérapie est l'une des nouvelles approches pour la lutte contre le cancer et elle vise à exploiter la spécificité du système immunitaire qui peut distinguer des cellules normales et tumorales. Une cellule exprimant un marqueur tumoral (antigène) peut être reconnue par le système immunitaire humoral (anticorps) et/ou cellulaire, induisant une réponse spécifique contre la tumeur. L'immunothérapie peut s'appuyer alors sur la perfusion d'anticorps monoclonaux dirigés contre des antigènes tumoraux, par exemple les anticorps dirigés contre les protéines oncogéniques Her-2/neu dans le cancer du sein. Ces anticorps ont le grand avantage de spécifiquement se localiser à la tumeur et d'induire la lyse ou d'inhiber la prolifération des cellules tumorales exprimant l'antigène. Aujourd'hui, six anticorps monoclonaux non-conjugés sont approuvés en clinique. Cependant l'efficacité de ces anticorps contre des tumeurs solides reste limitée et les traitements sont souvent combinés avec de la chimiothérapie. L'immunothérapie spécifique peut également être cellulaire et exploiter par immunisation active le développement de lymphocytes T cytotoxiques (CTL) capables de détruire spécifiquement les cellules malignes. De telles «vaccinations »sont actuellement testées en clinique, mais jusqu'à présent elles n'ont pas abouti aux résultats satisfaisants. Pour obtenir une réponse lymphocytaire T cytotoxique antitumorale, la cellule T doit reconnaître un antigène associé à la tumeur, présenté sous forme de peptide dans un complexe majeur d'histocompatibilité de classe I (CHM I). Cependant les cellules tumorales sont peu efficace dans la présentation d'antigène, car souvent elles se caractérisent par une diminution ou une absence d'expression des molécules d'histocompatibilité de classe I, et expriment peu ou pas de molécules d'adhésion et de cytokines costimulatrices. C'est en partie pourquoi, malgré l'induction de fortes réponses CTL spécifiquement dirigés contre des antigènes tumoraux, les régressions tumorales obtenus grâce à ces vaccinations sont relativement rares. Les lymphocytes «invariant Natural Killer T » (iNKT) forment une sous-population particulière de lymphocytes T reconnaissant des antigènes glycolipidiques présentés sur la molécule non-polymorphique CD1d, analogue aux protéines CMH I. Après activation avec le ligand de haute affinité α-galactosylceramide (αGalCer), les cellules iNKT produisent des grandes quantités de la cytokine pro-inflammatoire interferon gamma (IFN-γ) et activent les cellules du système immunitaire inné et acquis, telles que les cellules dendritiques (DC), NK et T. En conséquence, on a montré que les cellules iNKT exercent des activités anti-tumorales et la recherche s'est intéressée à la manipulation de ces cellules pour développer des thérapies anti-tumorales. Néanmoins, le désavantage majeur de l'αGalCer, injecté seul, est qu'une seule dose de ce ligand aboutit à une activation des cellules iNKT de courte durée suivie par un état anergique prolongé, limitant l'utilisation thérapeutique de ce glycolipide. Notre groupe de recherche a donc eu l'idée de développer une nouvelle approche thérapeutique où la réponse immunitaire des cellules iNKT serait prolongée et redirigée vers la tumeur par des anticorps monoclonaux. Concrètement, nous avons produit des molécules récombinantes soluble CD1d (sCD1d) qui, si elles sont chargés avec l'αGalCer (αGalCer/sCDld), aboutissent à une activation prolongée des cellules iNKT et NK associée avec la sécrétion d'IFN-γ et la maturation des cellules DC. Plus important, si la molécule αGalCer/sCD1d est fusionnée avec un fragment single-chain (scFv) de l'anticorps anti-HER2, la réponse immunitaire est redirigée à la tumeur pour autant que les cellules cancéreuses expriment l'antigène HER2. Les molécules αGalCer/sCDld ainsi présentées activent les lymphocytes iNKT. Avec cette stratégie, on observe une importante inhibition de métastases expérimentales aux poumons et de tumeurs sous-cutanées, même lorsque le traitement systémique est commencé 2 à 7 jours après la greffe des cellules de mélanome B16 transfectées avec l'antigène HER2. Dans les mêmes conditions le traitement avec l'αGalCer seul est inefficace. L'activité anti-tumorale de la protéine sCDld-anti-HER2 est associée à son accumulation spécifique dans des tumeurs exprimant le HER2 ainsi qu'avec une accumulation des cellules iNKT, NK et T à la tumeur. En conclusion, l'activation prolongée des cellules iNKT redirigées à la tumeur par des molécules récombinantes αGalCer/sCD1d conduit à l'activation de la réponse innée et adaptative au site tumoral, offrant une nouvelle stratégie prometteuse d'immunothérapie contre le cancer.

SCaFoS: a tool for Selection, Concatenation and Fusion of Sequences for phylogenomics

Affiliation: Département de Biochimie, Université de Montréal

Le rôle de l’avocat dans les transactions d’acquisition et fusion d’entreprises

Les développements technologiques et la mondialisation ont permis aux gens d’avoir accès à l’information plus facilement et rapidement que jamais, provoquant ainsi des changements importants dans le milieu juridique qui doit s’adapter à la nouvelle clientèle sophistiquée et exigeante. Dans ce travail, nous nous penchons sur certains aspects devant être considérés par les avocats modernes assistant leur clientèle dans le cadre des transactions d’acquisition et de fusion.

Information Exchange and Fusion in Dynamic and Heterogeneous Distributed Environments

Context awareness, dynamic reconfiguration at runtime and heterogeneity are key characteristics of future distributed systems, particularly in ubiquitous and mobile computing scenarios. The main contributions of this dissertation are theoretical as well as architectural concepts facilitating information exchange and fusion in heterogeneous and dynamic distributed environments. Our main focus is on bridging the heterogeneity issues and, at the same time, considering uncertain, imprecise and unreliable sensor information in information fusion and reasoning approaches. A domain ontology is used to establish a common vocabulary for the exchanged information. We thereby explicitly support different representations for the same kind of information and provide Inter-Representation Operations that convert between them. Special account is taken of the conversion of associated meta-data that express uncertainty and impreciseness. The Unscented Transformation, for example, is applied to propagate Gaussian normal distributions across highly non-linear Inter-Representation Operations. Uncertain sensor information is fused using the Dempster-Shafer Theory of Evidence as it allows explicit modelling of partial and complete ignorance. We also show how to incorporate the Dempster-Shafer Theory of Evidence into probabilistic reasoning schemes such as Hidden Markov Models in order to be able to consider the uncertainty of sensor information when deriving high-level information from low-level data. For all these concepts we provide architectural support as a guideline for developers of innovative information exchange and fusion infrastructures that are particularly targeted at heterogeneous dynamic environments. Two case studies serve as proof of concept. The first case study focuses on heterogeneous autonomous robots that have to spontaneously form a cooperative team in order to achieve a common goal. The second case study is concerned with an approach for user activity recognition which serves as baseline for a context-aware adaptive application. Both case studies demonstrate the viability and strengths of the proposed solution and emphasize that the Dempster-Shafer Theory of Evidence should be preferred to pure probability theory in applications involving non-linear Inter-Representation Operations.

Using appearance and context for outdoor scene object classification

We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down control, which uses the previously learned models (appearance and absolute location) to obtain an initial pixel-level classification. This information provides us the core of objects, which is used to acquire a more accurate object model. Therefore, their growing by specific active regions allows us to obtain an accurate recognition of known regions. Next, a stage of general segmentation provides the segmentation of unknown regions by a bottom-strategy. Finally, the last stage tries to perform a region fusion of known and unknown segmented objects. The result is both a segmentation of the image and a recognition of each segment as a given object class or as an unknown segmented object. Furthermore, experimental results are shown and evaluated to prove the validity of our proposal

Multi-level Input Fusion in multi-modal systems

Context-aware multimodal interactive systems aim to adapt to the needs and behavioural patterns of users and offer a way forward for enhancing the efficacy and quality of experience (QoE) in human-computer interaction. The various modalities that constribute to such systems each provide a specific uni-modal response that is integratively presented as a multi-modal interface capable of interpretation of multi-modal user input and appropriately responding to it through dynamically adapted multi-modal interactive flow management , This paper presents an initial background study in the context of the first phase of a PhD research programme in the area of optimisation of data fusion techniques to serve multimodal interactivite systems, their applications and requirements.

Amino terminal interaction in the prion protein identified using fusion to green fluorescent protein

In contrast to the well-characterized carboxyl domain, the amino terminal half of the mature cellular prion protein has no defined structure. Here, following fusion of mouse prion protein fragments to green fluorescence protein as a reporter of protein stability, we report extreme variability in fluorescence level that is dependent on the prion fragment expressed. In particular, exposure of the extreme amino terminus in the context of a truncated prion protein molecule led to rapid degradation, whereas the loss of only six amino terminal residues rescued high level fluorescence. Study of the precise endpoints and residue identity associated with high fluorescence suggested a domain within the amino terminal half of the molecule defined by a long-range intramolecular interaction between 23KKRPKP28 and 143DWED146 and dependent upon the anti-parallel beta-sheet ending at residue 169 and normally associated with the structurally defined carboxyl terminal domain. This previously unreported interaction may be significant for understanding prion bioactivity and for structural studies aimed at the complete prion structure.