![]() Waltering, Markus ![]() Doctoral thesis (2009) Detailed reference viewed: 127 (26 UL)![]() Bordas, Stéphane ![]() ![]() ![]() Report (2019) https://www.cambridge.org/core/journals/data-centric-engineering Detailed reference viewed: 135 (7 UL)![]() ; ; et al in Nature Communications (2019) Cyber-physical systems embed software into the physical world. They appear in a wide range of applications such as smart grids, robotics, and intelligent manufacturing. Cyber-physical systems have proved ... [more ▼] Cyber-physical systems embed software into the physical world. They appear in a wide range of applications such as smart grids, robotics, and intelligent manufacturing. Cyber-physical systems have proved resistant to modeling due to their intrinsic complexity arising from the combination of physical and cyber components and the interaction between them. This study proposes a general framework for discovering cyber-physical systems directly from data. The framework involves the identification of physical systems as well as the inference of transition logics. It has been applied successfully to a number of real-world examples. The novel framework seeks to understand the underlying mechanism of cyber-physical systems as well as make predictions concerning their state trajectories based on the discovered models. Such information has been proven essential for the assessment of the performance of cyber- physical systems; it can potentially help debug in the implementation procedure and guide the redesign to achieve the required performance. [less ▲] Detailed reference viewed: 78 (6 UL)![]() Deshpande, Saurabh ![]() ![]() ![]() Scientific Conference (2020, July) Detailed reference viewed: 144 (20 UL)![]() Caruso, Geoffrey ![]() Presentation (2010) An increasing number of institutions, acting at different scales and within different sectors, create in-house geographical information systems, e.g. for regional statistics, for land and transport ... [more ▼] An increasing number of institutions, acting at different scales and within different sectors, create in-house geographical information systems, e.g. for regional statistics, for land and transport management, for local urban planning, etc. In addition, with the advent of new technologies, such as GPS's or web-mapping facilities, the use of such geographical data is being more and more popular and data is made more easily accessible (sometimes even contributed by the end-users). Geographers find themselves in rather data rich environments today (irrespective of homogeneity and quality). Also geographical objects require specific visualization and statistical methods. The application and adaptation of data mining approaches in geographical contexts is an increasingly important research topic. In this lecture we will start from theoretical considerations on data mining in geography, particularly emphasizing what is special with exploratory spatial data analysis. We will then refer to ongoing research related to geographical data mining undertaken at the University of Luxembourg in collaboration with colleagues from other institutions. A first example will refer to a large and homogeneous dataset of all dwellings within a Belgian province. Using graph theory and local spatial statistics, the data is used to identify and categorize urbanisation patterns across scales in an iterative way. A second example will depict an application of 'self-organizing maps' to understand patterns of 'territorial cohesion' in Europe using a rather small and lacunary dataset. The third example will be dedicated to a text-mining application to a rather large corpus of documents related to spatial development in Europe. This work funded under the ESPON (European Spatial Observatory Network) aims at producing a relevant thematic structure to the online regional statistics database of the ESPON network. [less ▲] Detailed reference viewed: 74 (0 UL)![]() Bartolini, Cesare ![]() ![]() ![]() in IEEE Security and Privacy (2019), 17(6), 37-45 Understanding whether certain technical measures comply with the General Data Protection Regulation’s (GDPR’s) principles is complex legal work. This article describes a model of the GDPR that allows for ... [more ▼] Understanding whether certain technical measures comply with the General Data Protection Regulation’s (GDPR’s) principles is complex legal work. This article describes a model of the GDPR that allows for semiautomatic processing of legal text and the leveraging of state-of-the-art legal informatics approaches, which are useful for legal reasoning, software design, information retrieval, or compliance checking. [less ▲] Detailed reference viewed: 237 (19 UL)![]() Schymanski, Emma ![]() Presentation (2020, October 13) Detailed reference viewed: 63 (2 UL)![]() ; ; et al in International Journal of Data Science and Analytics (2018) Detailed reference viewed: 88 (0 UL)![]() Dehghani, Hamidreza ![]() ![]() Report (2021) Detailed reference viewed: 83 (4 UL)![]() ; Krolak-Schwerdt, Sabine ![]() ![]() Book published by Springer (2015) Detailed reference viewed: 200 (12 UL)![]() Chau, Minh Vu ![]() Poster (2021, May 21) Detailed reference viewed: 106 (18 UL)![]() Bordas, Stéphane ![]() Presentation (2018, February 08) Predicting failure in aircraft structures – simulating fracture across scales and times You could fly every day of your life in a commercial aircraft for twenty thousand years without suffering a fatal ... [more ▼] Predicting failure in aircraft structures – simulating fracture across scales and times You could fly every day of your life in a commercial aircraft for twenty thousand years without suffering a fatal accident. This extraordinary level of safety is the product of decades of engineering and materials science research. Simultaneously, engineers have strived to produce lighter and stronger aircraft, with increased range and metals have thus been gradually replaced by lighter advanced composite materials which take up more than half of the structural weight of today's most advanced aircraft. Such progress has been largely enabled by modeling and simulation of materials and structures, which have revolutionized design by enabling engineers to investigate virtually various design strategies. This presentation will focus on the challenges which have been posed, are posed, and will be posed to such modeling and simulation tools in the strive to predict the durability of lighter, stronger, longer-ranging and more reliable aircraft. [less ▲] Detailed reference viewed: 275 (4 UL)![]() ; ; Arts, Joachim ![]() in Operations Research Letters (2023) Detailed reference viewed: 40 (4 UL)![]() Kalaitzidou, Chrysovalantou ![]() Poster (2021, May 21) Detailed reference viewed: 75 (8 UL)![]() Baniasadi, Mehri ![]() ![]() in Human Brain Mapping (2022) Segmenting deep brain structures from magnetic resonance images is important for patient diagnosis, surgical planning, and research. Most current state-of-the-art solutions follow a segmentation-by ... [more ▼] Segmenting deep brain structures from magnetic resonance images is important for patient diagnosis, surgical planning, and research. Most current state-of-the-art solutions follow a segmentation-by-registration approach, where subject magnetic resonance imaging (MRIs) are mapped to a template with well-defined segmentations. However, registration-based pipelines are time-consuming, thus, limiting their clinical use. This paper uses deep learning to provide a one-step, robust, and efficient deep brain segmentation solution directly in the native space. The method consists of a preprocessing step to conform all MRI images to the same orientation, followed by a convolutional neural network using the nnU-Net framework. We use a total of 14 datasets from both research and clinical collections. Of these, seven were used for training and validation and seven were retained for testing. We trained the network to segment 30 deep brain structures, as well as a brain mask, using labels generated from a registration-based approach. We evaluated the generalizability of the network by performing a leave-one-dataset-out cross-validation, and independent testing on unseen datasets. Furthermore, we assessed cross-domain transportability by evaluating the results separately on different domains. We achieved an average dice score similarity of 0.89 ± 0.04 on the test datasets when compared to the registration-based gold standard. On our test system, the computation time decreased from 43 min for a reference registration-based pipeline to 1.3 min. Our proposed method is fast, robust, and generalizes with high reliability. It can be extended to the segmentation of other brain structures. It is publicly available on GitHub, and as a pip package for convenient usage. [less ▲] Detailed reference viewed: 32 (1 UL)![]() ![]() Brennecke, Martin ![]() in Proceedings of the 55th Hawaii International Conference on System Sciences (2022) Countless decentralized finance (DeFi) applications of the past years have suffered from the high volatility and speculative behavior surrounding their underlying crypto assets. While the academic debate ... [more ▼] Countless decentralized finance (DeFi) applications of the past years have suffered from the high volatility and speculative behavior surrounding their underlying crypto assets. While the academic debate has been flourishing in these areas, Decentralized Autonomous Organizations (DAOs) have not received as much attention. This is the case even though they could offer an opportunity to solve some of the underlying problems of existing cryptocurrencies and ecosystems, for example, by providing lower volatility and, thus, exchange rate stability. This paper presents an economic analysis of the MakerDAO, a DAO in DeFi. In doing so, we use a single case study methodology based on existing resources and expert interviews. It also uses monetary theory instruments to provide researchers and developers with insights into how DAOs are governed. Further, it serves to illustrate how IS research may support the development of future IT artifacts aimed at offering the infrastructure for DeFi applications. [less ▲] Detailed reference viewed: 25 (6 UL)![]() Sajadi Alamdari, Seyed Amin ![]() ![]() in ROBOT 2017: Third Iberian Robotics Conference, Sevilla, Spain 22-24 November 2017 (2017, November) Battery Electric Vehicles have high potentials for the modern transportations, however, they are facing limited cruising range. To address this limitation, we present a semi-autonomous ecological driver ... [more ▼] Battery Electric Vehicles have high potentials for the modern transportations, however, they are facing limited cruising range. To address this limitation, we present a semi-autonomous ecological driver assistance system to regulate the velocity with energy-efficient techniques. The main contribution of this paper is the design of a real-time nonlinear receding horizon optimal controller to plan the online cost-effective cruising velocity. Instead of conventional L2-norms, a deadzone-quadratic penalty function for the nonlinear model predictive controller is proposed. Obtained field experimental results demonstrate the effectiveness of the proposed method for a semi-autonomous electric vehicle in terms of real-time energy-efficient velocity regulation and constraints satisfaction. [less ▲] Detailed reference viewed: 157 (9 UL)![]() ; ; Bordas, Stéphane ![]() Scientific Conference (2013) We propose a reduced order modelling technique based on a partitioning of the domain of study in the context of para- metric nonlinear problems. A formulation of the reduction of the displacement and of ... [more ▼] We propose a reduced order modelling technique based on a partitioning of the domain of study in the context of para- metric nonlinear problems. A formulation of the reduction of the displacement and of the interface tractions linking subdomains to each others will be performed in a FETI context. [less ▲] Detailed reference viewed: 347 (4 UL)![]() Gericke, Kilian ![]() ![]() in Proceedings of DTRS7: Design Meeting Protocols (2007) This paper aims at identifying factors which influence the number of ideas generated during a brainstorming meeting as part of an industrial mechanical engineering design project. A framework for ... [more ▼] This paper aims at identifying factors which influence the number of ideas generated during a brainstorming meeting as part of an industrial mechanical engineering design project. A framework for describing groups of influencing factors and their relationships is used. As a result of an explorative, comparative protocol analysis of two design meetings the influence of some factors is described e.g. the formulation of the design task description and the sequence of the process steps. [less ▲] Detailed reference viewed: 144 (1 UL)![]() Barbereau, Tom Josua ![]() ![]() ![]() in Technology in Society (2023), 73 Ethereum's public distributed ledger can issue tokenised voting rights that are tradable on crypto-asset exchanges by potentially anyone. Ethereum thus enables global, unincorporated associations to ... [more ▼] Ethereum's public distributed ledger can issue tokenised voting rights that are tradable on crypto-asset exchanges by potentially anyone. Ethereum thus enables global, unincorporated associations to conduct governance experiments. Such experiments are crucial to Decentralised Finance (DeFi). DeFi is a nascent field of unlicensed, unregulated, and non-custodial financial services that utilise public distributed ledgers and crypto-assets rather than corporate structures and sovereign currencies. The inaugural Bloomberg Galaxy DeFi Index, launched in August 2021, included nine Ethereum-based projects – non-custodial exchanges as well as lending and derivatives platforms. Each project is governed, at least in part, by unregistered holders of tokenised voting rights (also known as governance tokens). Token-holders typically vote for or against coders' improvement proposals that pertain to anything from the allocation of treasury funds to a collateral's risk parameters. DeFi's governance thus depends on the distribution and exercise of tokenised voting rights. Since archetypal DeFi projects are not managed by companies or public institutions, not much is known about DeFi's governance. Regulators and law-makers from the United States recently asked if DeFi's governance entails a new class of “shadowy” elites. In response, we conducted an exploratory, multiple-case study that focused on the tokenised voting rights issued by the nine projects from Bloomberg's inaugural Galaxy DeFi index. Our mixed methods approach drew on Ethereum-based data about the distribution, trading, staking, and delegation of voting rights tokens, as well as project documentation and archival records. We discovered that DeFi projects' voting rights are highly concentrated, and the exercise of these rights is very low. Our theoretical contribution is a philosophical intervention: minority rule, not “democracy”, is the probable outcome of token-tradable voting rights and a lack of applicable anti-concentration laws. We interpret DeFi's minority rule as timocratic. [less ▲] Detailed reference viewed: 49 (11 UL) |
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