1,985 research outputs found
Time-aware Multiway Adaptive Fusion Network for Temporal Knowledge Graph Question Answering
Knowledge graphs (KGs) have received increasing attention due to its wide
applications on natural language processing. However, its use case on temporal
question answering (QA) has not been well-explored. Most of existing methods
are developed based on pre-trained language models, which might not be capable
to learn \emph{temporal-specific} presentations of entities in terms of
temporal KGQA task. To alleviate this problem, we propose a novel
\textbf{T}ime-aware \textbf{M}ultiway \textbf{A}daptive (\textbf{TMA}) fusion
network. Inspired by the step-by-step reasoning behavior of humans. For each
given question, TMA first extracts the relevant concepts from the KG, and then
feeds them into a multiway adaptive module to produce a
\emph{temporal-specific} representation of the question. This representation
can be incorporated with the pre-trained KG embedding to generate the final
prediction. Empirical results verify that the proposed model achieves better
performance than the state-of-the-art models in the benchmark dataset. Notably,
the Hits@1 and Hits@10 results of TMA on the CronQuestions dataset's complex
questions are absolutely improved by 24\% and 10\% compared to the
best-performing baseline. Furthermore, we also show that TMA employing an
adaptive fusion mechanism can provide interpretability by analyzing the
proportion of information in question representations.Comment: ICASSP 202
Overexpression of brachyury contributes to tumor metastasis by inducing epithelial-mesenchymal transition in hepatocellular carcinoma
Observer-based stabilization of one-sided Lipschitz systems with application to flexible link manipulator
This article is concerned with the observer-based output feedback stabilization problem for a class of nonlinear systems that satisfies the one-sided Lipschitz and the quadratically inner-bounded conditions. The system model under consideration encompasses the classical Lipschitz nonlinear system as a special case. For such a system, we design the output feedback controller via constructing a full-order Luenberger-type state observer. Sufficient conditions that guarantee the existence of observer-based output feedback are established in the form of linear matrix inequalities, which are readily solved by the available numerical software. Moreover, the proposed observer-based output feedback designs are applied to a flexible link manipulator system. Finally, simulation study on the manipulator system is given to demonstrate the effectiveness of the developed control design
Detecting and removing visual distractors for video aesthetic enhancement
Personal videos often contain visual distractors, which are objects that are accidentally captured that can distract viewers from focusing on the main subjects. We propose a method to automatically detect and localize these distractors through learning from a manually labeled dataset. To achieve spatially and temporally coherent detection, we propose extracting features at the Temporal-Superpixel (TSP) level using a traditional SVM-based learning framework. We also experiment with end-to-end learning using Convolutional Neural Networks (CNNs), which achieves slightly higher performance than other methods. The classification result is further refined in a post-processing step based on graph-cut optimization. Experimental results show that our method achieves an accuracy of 81% and a recall of 86%. We demonstrate several ways of removing the detected distractors to improve the video quality, including video hole filling; video frame replacement; and camera path re-planning. The user study results show that our method can significantly improve the aesthetic quality of videos
Second harmonic and cascaded third harmonic generation in generalized quasi-periodic poled lithium niobate waveguides
Lithium niobate (LN) thin film has recently emerged as an important platform
for nonlinear optical investigations for its large nonlinear
coefficients and ability of light localization. In this paper, we report the
first fabrication of LN on insulator (LNOI) ridge waveguides with generalized
quasi-periodic poled superlattices using the electric field polarization
technique and microfabrication techniques. Benefiting from the abundant
reciprocal vectors, we observed efficient second-harmonic and cascaded
third-harmonic signals in the same device, with the normalized conversion
efficiency 1735% Wcm and 0.41% Wcm, respectively.
This work opens a new direction of nonlinear integrated photonics based on LN
thin film.Comment: 4 pages, 4 figure
Theoretical Study of Seal Spring in a Wankel Compressor
The successful fabrication of a miniature Wankel compressor relies on its seal performance.The factors that influence the seal of a miniature Wankel compressor mainly include axial double mechanical seal and apex seals.Axial mechanical seal depends on machining precision on the end face.In the compression cavity, the springs for seal flake on the Wankel rotor put pressure on cylinder ,which generates the desired amount of pressing force.When springs fails,high-pressure cavity and low-pressure cavity will be connected.Spring performance will directly affect the efficiency of a Wankel compressor.In this paper,we aim to introduce kinematic analysis of apex seals and force analysis of springs in a miniature Wankel compressor
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