In this paper, we investigate the problem of human action recognition from the video. And a posetoaction hierarchical recognition step is adopted. Different from previous works which define some particular distances i...
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This paper presents a reasoning method based on the combination of Textual CBR and RBR to deal with the case described by the natural language with the intention of resolving the information retrieval in the flight-te...
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During decision making procedure of active application, the primary signals with noise, which got from each sensor, were sent to a decision making center, the fusion center, through the distributed or centralized comp...
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During decision making procedure of active application, the primary signals with noise, which got from each sensor, were sent to a decision making center, the fusion center, through the distributed or centralized computer network. The fusion center then formed a final decision based on the primary decisions received from low-level sensors. But multi-sensor heterogeneous information fusion is an extremely challenging problem because of the complex and highly irregular nature of environment. We have designed a kind of new decision fusion method based on sensor evidence for active application in this paper. A fusion model, approach and relative lemma for multi-sensor heterogeneous information has been presented. For decision fusion, we have utilized the approaching relative efficiency performance measure. This method has been tested successfully by our active application projects.
The discovery of invariants and ranking functions plays a central role in program verification. In our previous work, we investigated invariant generation and non-linear ranking function discovering of polynomial prog...
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Fog computing as a promising technology develops network service quality by bringing resources closer to the end users. Unlike traditional cloud, fog is characterized by sporadic resources availab.lity, geographical d...
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Pairwise testing, which requires that every combination of valid values of each pair of system factors be covered by at lease one test case, plays an important role in software testing since many faults are caused by ...
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Pairwise testing, which requires that every combination of valid values of each pair of system factors be covered by at lease one test case, plays an important role in software testing since many faults are caused by unexpected 2-way interactions among system factors. Although meta-heuristic strategies like simulated annealing can generally discover smaller pairwise test suite, they may cost more time to perform search, compared with greedy algorithms. We propose a new method, improved Extremal Optimization (EO) based on the Bak-Sneppen (BS) model of biological evolution, for constructing pairwise test suites and define fitness function according to the requirement of improved EO. Experimental results show that improved EO gives similar size of resulting pairwise test suite and yields an 85% reduction in solution time over SA.
The accuracy of the Autonomous Underwater Vehicles (AUVs) navigation system determines whether they can safely operate and return. Traditional Dead-reckoning (DR) relies on the inertial sensors such as gyroscope and a...
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ISBN:
(纸本)9781450346375
The accuracy of the Autonomous Underwater Vehicles (AUVs) navigation system determines whether they can safely operate and return. Traditional Dead-reckoning (DR) relies on the inertial sensors such as gyroscope and accelerometer. A major challenge for DR navigation is from measurement error of the inertial sensors (gyroscope, accelerometer, etc.), especially when the AUV is near or at the ocean surface. The AUV's motion is affected by ocean waves, and its pitch angle changes rapidly with the waves. This rapid change and the measurement errors will cause great noise to the direction measured by gyroscopes, and then lead to a large error to the DR navigation. To address this problem, a novel DR method based on neural network (DR-N) is proposed to explore the time-varying relationship between acceleration measurement and orientation measurement, which leverages acoustic localization and neural network estimate timely pitch angle through the explored time-varying relationship. This method enables AUV's DR navigation with a single acceleration, without relying on both acceleration and gyroscope. Most importantly, we can improve the accuracy of AUV navigation through avoiding DR errors caused by gyroscope noise at the sea surface. Simulations show DR-N significantly improves navigation accuracy.
Given a graph G = (V, E) with a lab.l set L = {`1, `2, . . ., `q}, in which each edge has a lab.l from L, a source s ∈ V , and a sink t ∈ V , the Min lab.l s-t Cut problem asks to pick a set L0 ⊆ L of lab.ls with mi...
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Numerical software is widely used in safety-critical systems such as aircrafts, satellites, car engines and many other fields, facilitating dynamics control of such systems in real time. It is therefore absolutely nec...
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A visual emotional synthesis system is proposed. Firstly, facial expression is synthesized by the anatomical model and parameterized model. Secondly, cartoonish hairstyle is synthesized to describe emotion implicitly ...
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A visual emotional synthesis system is proposed. Firstly, facial expression is synthesized by the anatomical model and parameterized model. Secondly, cartoonish hairstyle is synthesized to describe emotion implicitly by the mass-spring model and cantilever beam model. Finally, the synthesis results of facial expression and hairstyle are combined to produce a complete visual emotion synthesis result. Experiment results demonstrate the proposed system can synthesize realistic animation, and the emotion expressiveness by combining of face and hair outperform that by face or hair alone.
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