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This paper presents a novel method to predict future human activities from partially observed RGB-D videos. Human activity prediction is generally difficult due to its non-Markovian property and the rich context between human and environments. We use a stochastic grammar model to capture the compositional structure of events, integrating human actions, objects, and their affordances. We represent...
We propose a novel methodology for calibrating the physics-based lifetime models of the electronic packages using the eigenvector dimension-reduction (EDR) method and a censored data analysis. The methodology enables to overcome two challenges that are encountered in typical electronic packaging applications: 1) the minimum computational cost without sacrificing the prediction accuracy and 2) the...
This paper considers the formation tracking control problem of concomitant satellites by using STK (Satellite Tool Kit). A new sliding mode control protocol which is suitable to fight against the gravitational perturbation is proposed to achieve the robust tracking around the given orbit. Information flows are able to be translated in STK simulations by using the time-share scheme. The effective of...
In this paper, a novel block matching algorithm SPSO based on hybrid simplex method (SM) and particle swarm optimization (PSO) is proposed, which combines the high accurate local search ability of SM and the powerful global search ability of PSO. To reduce computational complexity and improve the performance of block matching algorithm, the selection of initial habitats based on fixed points and random...
In this paper, an interactive sketch expression generation method is presented. By dragging one or a few control points on a new input sketch face, the system can draw corresponding natural expressions automatically. However, for an unseen target, with just a few knowledge of its neutral face, users' arbitrary input will often lead to unnatural even unreasonable results. In the proposed method, two...
In this paper, by combining the rough sets theory and intuitionistic fuzzy special sets theory, the model of the rough interval-valued intuitionistic fuzzy sets is defined, some basic operations of the model are given, and the properties of the model are discussed. The discussion is the emphasis in the properties of complement. By discussing, co-normality, normality, duality are established in rough...
This paper proposes a computationally efficient spreading-waveform-estimation method for the non-symbol-periodic Direct Sequence Spread Spectrum (DS-SS) signals. The method is a low SNR unconditional maximum likelihood (UML) estimation algorithm. It works under the assumption of uniformly distributed transmission delay, which may cause mismatch in the real-world model. Equivalence exists between the...
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