13,439 research outputs found

    OEXP Analysis Tools Workshop

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    This publication summarizes the software needs and available analysis tools presented at the OEXP Analysis Tools Workshop held at the NASA Langley Research Center, Hampton, Virginia on June 21 to 22, 1988. The objective of the workshop was to identify available spacecraft system (and subsystem) analysis and engineering design tools, and mission planning and analysis software that could be used for various NASA Office of Exploration (code Z) studies, specifically lunar and Mars missions

    Business Case and Technology Analysis for 5G Low Latency Applications

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    A large number of new consumer and industrial applications are likely to change the classic operator's business models and provide a wide range of new markets to enter. This article analyses the most relevant 5G use cases that require ultra-low latency, from both technical and business perspectives. Low latency services pose challenging requirements to the network, and to fulfill them operators need to invest in costly changes in their network. In this sense, it is not clear whether such investments are going to be amortized with these new business models. In light of this, specific applications and requirements are described and the potential market benefits for operators are analysed. Conclusions show that operators have clear opportunities to add value and position themselves strongly with the increasing number of services to be provided by 5G.Comment: 18 pages, 5 figure

    Development of a novel data acquisition and processing methodology applied to the boresight alignment of marine mobile LiDAR systems

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    Le systĂšme LiDAR mobile (SLM) est une technologie d'acquisition de donnĂ©es de pointe qui permet de cartographier les scĂšnes du monde rĂ©el en nuages de points 3D. Les applications du SLM sont trĂšs vastes, de la foresterie Ă  la modĂ©lisation 3D des villes, en passant par l'Ă©valuation de l'inventaire routier et la cartographie des infrastructures portuaires. Le SLM peut Ă©galement ĂȘtre montĂ© sur diverses plateformes, telles que des plateformes aĂ©riennes, terrestres, marines, etc. IndĂ©pendamment de l'application et de la plateforme, pour s'assurer que le SLM atteigne sa performance optimale et sa meilleure prĂ©cision, il est essentiel de traiter correctement les erreurs systĂ©matiques du systĂšme, spĂ©cialement l'erreur des angles de visĂ©e Ă  laquelle on s'intĂ©resse particuliĂšrement dans cette thĂšse. L'erreur des angles de visĂ©e est dĂ©finie comme le dĂ©salignement rotationnel des deux parties principales du SLM, le systĂšme de positionnement et d'orientation et le scanneur LiDAR, introduit par trois angles de visĂ©e. En fait, de petites variations angulaires dans ces paramĂštres peuvent causer des problĂšmes importants d'incertitude gĂ©omĂ©trique dans le nuage de points final et il est vital d'employer une mĂ©thode d'alignement pour faire face Ă  la problĂ©matique de l'erreur des angles de visĂ©e de ces systĂšmes. La plupart des mĂ©thodes existantes d'alignement des angles de visĂ©e qui ont Ă©tĂ© principalement dĂ©veloppĂ©es pour les SLM aĂ©riens et terrestres, tirent profit d'Ă©lĂ©ments in-situ spĂ©cifiques et prĂ©sents sur les sites de levĂ©s et adĂ©quats pour ces mĂ©thodes. Par exemple, les Ă©lĂ©ments linĂ©aires et planaires extraits des toits et des façades des maisons. Cependant, dans les environnements sans prĂ©sence de ces Ă©lĂ©ments saillants comme la forĂȘt, les zones rurales, les ports, oĂč l'accĂšs aux Ă©lĂ©ments appropriĂ©es pour l'alignement des angles de visĂ©e est presque impossible, les mĂ©thodes existantes fonctionnent mal, voire mĂȘme pas du tout. Par consĂ©quent, cette recherche porte sur l'alignement des angles de visĂ©e d'un SLM dans un environnement complexe. Nous souhaitons donc introduire une procĂ©dure d'acquisition et traitement pour une prĂ©paration adĂ©quate des donnĂ©es, qui servira Ă  la mĂ©thode d'alignement des angles de visĂ©e du SLM. Tout d'abord, nous explorons les diffĂ©rentes possibilitĂ©s des Ă©lĂ©ments utilisĂ©s dans les mĂ©thodes existantes qui peuvent aider Ă  l'identification de l'Ă©lĂ©ment offrant le meilleur potentiel pour l'estimation des angles de visĂ©e d'un SLM. Ensuite, nous analysons, parmi un grand nombre de possibles configurations d'Ă©lĂ©ments (cibles) et patrons de lignes de balayage, celle qui nous apparaĂźt la meilleure. Cette analyse est rĂ©alisĂ©e dans un environnement de simulation dans le but de gĂ©nĂ©rer diffĂ©rentes configurations de cibles et de lignes de balayage pour l'estimation des erreurs des angles de visĂ©e afin d'isoler la meilleure configuration possible. Enfin, nous validons la configuration proposĂ©e dans un scĂ©nario rĂ©el, soit l'Ă©tude de cas du port de MontrĂ©al. Le rĂ©sultat de la validation rĂ©vĂšle que la configuration proposĂ©e pour l'acquisition et le traitement des donnĂ©es mĂšne Ă  une mĂ©thode rigoureuse d'alignement des angles de visĂ©e qui est en mĂȘme temps prĂ©cise, robuste et rĂ©pĂ©table. Pour Ă©valuer les rĂ©sultats obtenus, nous avons Ă©galement mis en Ɠuvre une mĂ©thode d'Ă©valuation de la prĂ©cision relative, qui dĂ©montre l'amĂ©lioration de la prĂ©cision du nuage de points aprĂšs l'application de la procĂ©dure d'alignement des angles de visĂ©e.A Mobile LiDAR system (MLS) is a state-of-the-art data acquisition technology that maps real-world scenes in the form of 3D point clouds. The MLS's list of applications is vast, from forestry to 3D city modeling and road inventory assessment to port infrastructure mapping. The MLS can also be mounted on various platforms, such as aerial, terrestrial, marine, and so on. Regardless of the application and the platform, to ensure that the MLS achieves its optimal performance and best accuracy, it is essential to adequately address the systematic errors of the system, especially the boresight error. The boresight error is the rotational misalignment offset of the two main parts of the MLS, the positioning and orientation system (POS) and the LiDAR scanner. Minor angular parameter variations can cause important geometric accuracy issues in the final point cloud. Therefore, it is vital to employ an alignment method to cope with the boresight error problem of such systems. Most of the existing boresight alignment methods, which have been mainly developed for aerial and terrestrial MLS, take advantage of the in-situ tie-features in the environment that are adequate for these methods. For example, tie-line and tie-plane are extracted from building roofs and facades. However, in low-feature environments like forests, rural areas, ports, and harbors, where access to suitable tie-features for boresight alignment is nearly impossible, the existing methods malfunction or do not function. Therefore, this research addresses the boresight alignment of a marine MLS in a low-feature maritime environment. Thus, we aim to introduce an acquisition procedure for suitable data preparation, which will serve as input for the boresight alignment method of a marine MLS. First, we explore various tie-features introduced in the existing ways that eventually assist in the identification of the suitable tie-feature for the boresight alignment of a marine MLS. Second, we study the best configuration for the data acquisition procedure, i.e., tie-feature(s) characteristics and the necessary scanning line pattern. This study is done in a simulation environment to achieve the best visibility of the boresight errors on the selected suitable tie-feature. Finally, we validate the proposed configuration in a real-world scenario, which is the port of Montreal case study. The validation result reveals that the proposed data acquisition and processing configuration results in an accurate, robust, and repeatable rigorous boresight alignment method. We have also implemented a relative accuracy assessment to evaluate the obtained results, demonstrating an accuracy improvement of the point cloud after the boresight alignment procedure

    Modelling and Co-simulation of Multi-Energy Systems: Distributed Software Methods and Platforms

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    L'abstract Ăš presente nell'allegato / the abstract is in the attachmen

    Model-Driven Development of Interactive Multimedia Applications

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    The development of highly interactive multimedia applications is still a challenging and complex task. In addition to the application logic, multimedia applications typically provide a sophisticated user interface with integrated media objects. As a consequence, the development process involves different experts for software design, user interface design, and media design. There is still a lack of concepts for a systematic development which integrates these aspects. This thesis provides a model-driven development approach addressing this problem. Therefore it introduces the Multimedia Modeling Language (MML), a visual modeling language supporting a design phase in multimedia application development. The language is oriented on well-established software engineering concepts, like UML 2, and integrates concepts from the areas of multimedia development and model-based user interface development. MML allows the generation of code skeletons from the models. Thereby, the core idea is to generate code skeletons which can be directly processed in multimedia authoring tools. In this way, the strengths of both are combined: Authoring tools are used to perform the creative development tasks while models are used to design the overall application structure and to enable a well-coordinated development process. This is demonstrated using the professional authoring tool Adobe Flash. MML is supported by modeling and code generation tools which have been used to validate the approach over several years in various student projects and teaching courses. Additional prototypes have been developed to demonstrate, e.g., the ability to generate code for different target platforms. Finally, it is discussed how models can contribute in general to a better integration of well-structured software development and creative visual design

    Multi-Agent Systems

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    This Special Issue ""Multi-Agent Systems"" gathers original research articles reporting results on the steadily growing area of agent-oriented computing and multi-agent systems technologies. After more than 20 years of academic research on multi-agent systems (MASs), in fact, agent-oriented models and technologies have been promoted as the most suitable candidates for the design and development of distributed and intelligent applications in complex and dynamic environments. With respect to both their quality and range, the papers in this Special Issue already represent a meaningful sample of the most recent advancements in the field of agent-oriented models and technologies. In particular, the 17 contributions cover agent-based modeling and simulation, situated multi-agent systems, socio-technical multi-agent systems, and semantic technologies applied to multi-agent systems. In fact, it is surprising to witness how such a limited portion of MAS research already highlights the most relevant usage of agent-based models and technologies, as well as their most appreciated characteristics. We are thus confident that the readers of Applied Sciences will be able to appreciate the growing role that MASs will play in the design and development of the next generation of complex intelligent systems. This Special Issue has been converted into a yearly series, for which a new call for papers is already available at the Applied Sciences journal’s website: https://www.mdpi.com/journal/applsci/special_issues/Multi-Agent_Systems_2019
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