Datasets:
| {"title": "POD-based reduced-order model of an eddy-current levitation problem", "year": 2017, "venue_abbr": "AMR", "venue_name": "Academy of Management Review", "authors": ["MD Rokibul Hasan", "Laurent Montier", "Thomas Henneron", "and Ruth V.\n Sabariego"], "abstract": " The accurate and efficient treatment of eddy-current problems with movement\nis still a challenge. Very few works applying reduced-order models are\navailable in the literature. In this paper, we propose a\nproper-orthogonal-decomposition reduced-order model to handle these kind of\nmotional problems. A classical magnetodynamic finite element formulation based\non the magnetic vector potential is used as reference and to build up the\nreduced models. Two approaches are proposed. The TEAM workshop problem 28 is\nchosen as a test case for validation. Results are compared in terms of accuracy\nand computational cost.\n", "doi": null, "arxiv_id": "1710.08180", "pdf_urls": ["https://arxiv.org/pdf/1710.08180"], "github": [], "is_oa": true, "sources": ["open-arxiv"], "type": "journal", "journal_ref": "In Scientific Computing in Electrical Engineering SCEE 2016,\n Mathematics in Industry xx, xxx pp., pages 1-10. U. Langer and W.Amrhein and\n W. Zulehner (Eds.), Springer Berlin Heidelberg", "categories": "cs.CE"} | |
| {"title": "Generating Plans that Predict Themselves", "year": 2018, "venue_abbr": "AMR", "venue_name": "Academy of Management Review", "authors": ["Jaime F. Fisac", "Chang Liu", "Jessica B. Hamrick", "S. Shankar Sastry", "J.\n Karl Hedrick", "Thomas L. Griffiths", "and Anca D. Dragan"], "abstract": " Collaboration requires coordination, and we coordinate by anticipating our\nteammates' future actions and adapting to their plan. In some cases, our\nteammates' actions early on can give us a clear idea of what the remainder of\ntheir plan is, i.e. what action sequence we should expect. In others, they\nmight leave us less confident, or even lead us to the wrong conclusion. Our\ngoal is for robot actions to fall in the first category: we want to enable\nrobots to select their actions in such a way that human collaborators can\neasily use them to correctly anticipate what will follow. While previous work\nhas focused on finding initial plans that convey a set goal, here we focus on\nfinding two portions of a plan such that the initial portion conveys the final\none. We introduce $t$-\\ACty{}: a measure that quantifies the accuracy and\nconfidence with which human observers can predict the remaining robot plan from\nthe overall task goal and the observed initial $t$ actions in the plan. We\ncontribute a method for generating $t$-predictable plans: we search for a full\nplan that accomplishes the task, but in which the first $t$ actions make it as\neasy as possible to infer the remaining ones. The result is often different\nfrom the most efficient plan, in which the initial actions might leave a lot of\nambiguity as to how the task will be completed. Through an online experiment\nand an in-person user study with physical robots, we find that our approach\noutperforms a traditional efficiency-based planner in objective and subjective\ncollaboration metrics.\n", "doi": null, "arxiv_id": "1802.05250", "pdf_urls": ["https://arxiv.org/pdf/1802.05250"], "github": [], "is_oa": true, "sources": ["open-arxiv"], "type": "journal", "journal_ref": "Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, S. Shankar Sastry,\n J. Karl Hedrick, Thomas L. Griffiths, and Anca D. Dragan. \"Generating Plans\n that Predict Themselves\". Workshop on Algorithmic Foundations of Robotics\n (WAFR), 2016", "categories": "cs.RO cs.AI"} | |
| {"title": "Modeling OWL with Rules: The ROWL Protege Plugin", "year": 2018, "venue_abbr": "AMR", "venue_name": "Academy of Management Review", "authors": ["Md. Kamruzzaman Sarker", "David Carral", "Adila A. Krisnadhi", "Pascal\n Hitzler"], "abstract": " In our experience, some ontology users find it much easier to convey logical\nstatements using rules rather than OWL (or description logic) axioms. Based on\nrecent theoretical developments on transformations between rules and\ndescription logics, we develop ROWL, a Protege plugin that allows users to\nenter OWL axioms by way of rules; the plugin then automatically converts these\nrules into OWL DL axioms if possible, and prompts the user in case such a\nconversion is not possible without weakening the semantics of the rule.\n", "doi": null, "arxiv_id": "1808.10104", "pdf_urls": ["https://arxiv.org/pdf/1808.10104"], "github": [], "is_oa": true, "sources": ["open-arxiv"], "type": "journal", "journal_ref": "S. Md Kamruzzaman, Carral, D., Krisnadhi, A., and Hitzler, P.,\n Modeling OWL with Rules: The ROWL Protege Plugin Kobe, Japan, 2016", "categories": "cs.AI"} | |
| {"title": "Immercity: a curation content application in Virtual and Augmented\n reality", "year": 2018, "venue_abbr": "AMR", "venue_name": "Academy of Management Review", "authors": ["Jean-Daniel Taupiac (ICAR)", "Nancy Rodriguez (ICAR)", "Olivier Strauss\n (ICAR)"], "abstract": " When working with emergent and appealing technologies as Virtual Reality,\nMixed Reality and Augmented Reality, the issue of definitions appear very\noften. Indeed, our experience with various publics allows us to notice that\ntechnology definitions pose ambiguity and representation problems for informed\nas well as novice users. In this paper we present Immercity, a content curation\nsystem designed in the context of a collaboration between the University of\nMontpellier and CapGemi-ni, to deliver a technology watch. It is also used as a\ntestbed for our experiences with Virtual, Mixed and Augmented reality to\nexplore new interaction techniques and devices, artificial intelligence\nintegration, visual affordances, performance , etc. But another, very\ninteresting goal appeared: use Immercity to communicate about Virtual, Mixed\nand Augmented Reality by using them as a support.\n", "doi": "10.1007/978-3-319-91584-5_18", "arxiv_id": "1810.10206", "pdf_urls": ["https://arxiv.org/pdf/1810.10206"], "github": [], "is_oa": true, "sources": ["open-arxiv"], "type": "journal", "journal_ref": "10th International Conference, VAMR 2018, Held as Part of HCI\n International 2018, II (2), Springer, 2018, Virtual, Augmented and Mixed\n Reality: Applications in Health, Cultural Heritage, and Industry,\n 978-3-319-91583-8. https://link.springer.com/book/10.1007/978-3-319-91584-5", "categories": "cs.GR cs.HC"} | |
| {"title": "Quantum Correlation Dynamics of Three Qubits in Non-Markovian\n Environments", "year": 2021, "venue_abbr": "AMR", "venue_name": "Academy of Management Review", "authors": ["M. A. Shukri", "Fares S. S. Alzahri and Ali Saif M. Hassan"], "abstract": " We investigate the quantum correlation dynamics of three independent qubits\neach locally interacting with a zero temperature non-Markovian reservoir by\nusing the Geometric measure of quantum discord (GQD). The dependence of quantum\ncorrelation dynamics on amount of non-Markovian, the degree of initial quantum\ncorrelation and purity of the initial states are studied in detail. It is found\nthat the quantum correlation of such three qubits system revives after\ninstantaneous disappearance period when a proper amount of non-Markovian is\npresent. A comparison to the pairwise quantum discord and entanglement dynamics\nin three qubits system is also made.\n", "doi": "10.59145/jaust.v2i4.50", "arxiv_id": "2111.07423", "pdf_urls": ["https://arxiv.org/pdf/2111.07423"], "github": [], "is_oa": true, "sources": ["open-arxiv"], "type": "journal", "journal_ref": "Journal of Amran University Vol. 2 No. 4 (2022)", "categories": "quant-ph"} | |