584 research outputs found
Tracking of enriched dialog states for flexible conversational information access
Dialog state tracking (DST) is a crucial component in a task-oriented dialog
system for conversational information access. A common practice in current
dialog systems is to define the dialog state by a set of slot-value pairs. Such
representation of dialog states and the slot-filling based DST have been widely
employed, but suffer from three drawbacks. (1) The dialog state can contain
only a single value for a slot, and (2) can contain only users' affirmative
preference over the values for a slot. (3) Current task-based dialog systems
mainly focus on the searching task, while the enquiring task is also very
common in practice. The above observations motivate us to enrich current
representation of dialog states and collect a brand new dialog dataset about
movies, based upon which we build a new DST, called enriched DST (EDST), for
flexible accessing movie information. The EDST supports the searching task, the
enquiring task and their mixed task. We show that the new EDST method not only
achieves good results on Iqiyi dataset, but also outperforms other
state-of-the-art DST methods on the traditional dialog datasets, WOZ2.0 and
DSTC2.Comment: 5 pages, 2 figures, accepted by ICASSP201
Neutrinos with Zee-Mass Matrix in Vacuum and Matter
Neutrino mass matrix generated by the Zee (radiative) mechanism has zero (in
general, small) diagonal elements and a natural hierarchy of the nondiagonal
elements. It can be considered as an alternative (with strong predictive power)
to the matrices generated by the see-saw mechanism. The propagation in medium
of the neutrinos with the Zee-mass matrix is studied. The flavor neutrino
transitions are described analytically. In the physically interesting cases the
probabilities of transitions as functions of neutrino energy can be represented
as two-neutrino probabilities modulated by the effect of vacuum oscillations
related to the small mass splitting. Possible applications of the results to
the solar, supernova, atmospheric and relic neutrinos are discussed. A set of
the predictions is found which could allow to identify the Zee-mass matrix and
therefore the corresponding mechanism of mass generation.Comment: 25 pages (3 figures available upon request), LaTeX, IC/94/4
Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
Conversations have an intrinsic one-to-many property, which means that
multiple responses can be appropriate for the same dialog context. In
task-oriented dialogs, this property leads to different valid dialog policies
towards task completion. However, none of the existing task-oriented dialog
generation approaches takes this property into account. We propose a
Multi-Action Data Augmentation (MADA) framework to utilize the one-to-many
property to generate diverse appropriate dialog responses. Specifically, we
first use dialog states to summarize the dialog history, and then discover all
possible mappings from every dialog state to its different valid system
actions. During dialog system training, we enable the current dialog state to
map to all valid system actions discovered in the previous process to create
additional state-action pairs. By incorporating these additional pairs, the
dialog policy learns a balanced action distribution, which further guides the
dialog model to generate diverse responses. Experimental results show that the
proposed framework consistently improves dialog policy diversity, and results
in improved response diversity and appropriateness. Our model obtains
state-of-the-art results on MultiWOZ
Finite element analysis of mechanical behavior of concrete-filled square steel tube short columns with inner I-shaped CFRP profiles subjected to bi-axial eccentric load
[EN] The concrete-filed square steel tube with inner I-shaped CFRP profiles short columns under bi-axial eccentric load were investigated by the finite element analysis software ABAQUS. The working mechanism of the composite columns which is under bi-axial eccentric load are investigated by using the stress distribution diagram of steel tube concrete and the I-shaped CFRP profiles. In this paper, the main parameters; eccentric ratio, steel ratio, steel yield strength, concrete compressive strength and CFRP distribution rate of the specimens were investigated to know the mechanical behavior of them. The interaction between the steel tube and the concrete interface at different characteristic points of the composite columns were analyzed. The results showed that the ultimate bearing capacity of the concrete-filed square steel tube with inner I-shaped CFRP profiles short columns under bi-axial eccentric load decrease with the increase of eccentric ratio, the ultimate bearing capacity of the composite columns increase with the increase of steel ratio, steel yield strength, concrete compressive strength and CFRP distribution rate. The contact pressure between the steel tube and the concrete decreased from the corner zone to the flat zone, and the contact pressure decreased from the mid-height cross section to other sections.Li, G.; Zhan, Z.; Yang, Z.; Yang, Y. (2018). Finite element analysis of mechanical behavior of concrete-filled square steel tube short columns with inner I-shaped CFRP profiles subjected to bi-axial eccentric load. En Proceedings of the 12th International Conference on Advances in Steel-Concrete Composite Structures. ASCCS 2018. Editorial Universitat Politècnica de València. 259-266. https://doi.org/10.4995/ASCCS2018.2018.6996OCS25926
Cooperative work behavior of high strength concrete-filled square high strength tubular stub columns with inner I-shaped CFRP under axial compression
[EN] The finite element software ABAQUS was used to analyze 22 high strength concrete-filled square high strength tubular short columns with inner I-shaped CFRP, all analysis results based on the finite element analysis data, six characteristic points were defined in the load-longitudinal strain curve of composite columns. The shared load of core concrete, square steel tube and inner I-shaped CFRP at different height sections of typical specimen corresponding to each characteristic point were analyzed and the cooperative work behavior of inner I-shaped CFRP, square steel tube and core concrete was analyzed. The results show that the existence of the inner I-shaped CFRP can effectively improve the ultimate bearing capacity composite columns, the middle region I-shaped CFRP sharing more longitudinal load than the end region CFRP and the shared load of concrete at the end region section is bigger than that of middle region section, before the CFRP brittle failure. The longitudinal load of square steel tube does not change with the change of the cross-section height.Li, G.; Yang, Y.; Yang, Z.; Zhan, Z. (2018). Cooperative work behavior of high strength concrete-filled square high strength tubular stub columns with inner I-shaped CFRP under axial compression. En Proceedings of the 12th International Conference on Advances in Steel-Concrete Composite Structures. ASCCS 2018. Editorial Universitat Politècnica de València. 281-288. https://doi.org/10.4995/ASCCS2018.2018.6999OCS28128
Online Monocular Lane Mapping Using Catmull-Rom Spline
In this study, we introduce an online monocular lane mapping approach that
solely relies on a single camera and odometry for generating spline-based maps.
Our proposed technique models the lane association process as an assignment
issue utilizing a bipartite graph, and assigns weights to the edges by
incorporating Chamfer distance, pose uncertainty, and lateral sequence
consistency. Furthermore, we meticulously design control point initialization,
spline parameterization, and optimization to progressively create, expand, and
refine splines. In contrast to prior research that assessed performance using
self-constructed datasets, our experiments are conducted on the openly
accessible OpenLane dataset. The experimental outcomes reveal that our
suggested approach enhances lane association and odometry precision, as well as
overall lane map quality. We have open-sourced our code1 for this project.Comment: Accepted by IROS202
Pyramid Semantic Graph-based Global Point Cloud Registration with Low Overlap
Global point cloud registration is essential in many robotics tasks like loop
closing and relocalization. Unfortunately, the registration often suffers from
the low overlap between point clouds, a frequent occurrence in practical
applications due to occlusion and viewpoint change. In this paper, we propose a
graph-theoretic framework to address the problem of global point cloud
registration with low overlap. To this end, we construct a consistency graph to
facilitate robust data association and employ graduated non-convexity (GNC) for
reliable pose estimation, following the state-of-the-art (SoTA) methods.
Unlike previous approaches, we use semantic cues to scale down the dense
point clouds, thus reducing the problem size. Moreover, we address the
ambiguity arising from the consistency threshold by constructing a pyramid
graph with multi-level consistency thresholds. Then we propose a cascaded
gradient ascend method to solve the resulting densest clique problem and obtain
multiple pose candidates for every consistency threshold. Finally, fast
geometric verification is employed to select the optimal estimation from
multiple pose candidates. Our experiments, conducted on a self-collected indoor
dataset and the public KITTI dataset, demonstrate that our method achieves the
highest success rate despite the low overlap of point clouds and low semantic
quality. We have open-sourced our code
https://github.com/HKUST-Aerial-Robotics/Pagor for this project.Comment: Accepted by IROS202
- …