Diabetes is a silent-killer disease that highly demands proper patient care and sound self-management which is a major challenge for a patient. The advancement in ICT and the rapid increase of mobile phone users are s...
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Human action recognition from videos is a challenging machine vision task with multiple important application domains, such as humanrobot/ machine interaction, interactive entertainment, multimedia information retriev...
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ISBN:
(纸本)9781577356332
Human action recognition from videos is a challenging machine vision task with multiple important application domains, such as humanrobot/ machine interaction, interactive entertainment, multimedia information retrieval, and surveillance. In this paper, we present a novel approach to human action recognition from 3D skeleton sequences extracted from depth data. We use the covariance matrix for skeleton joint locations over time as a discriminative descriptor for a sequence. To encode the relationship between joint movement and time, we deploy multiple covariance matrices over sub-sequences in a hierarchical fashion. The descriptor has a fixed length that is independent from the length of the described sequence. Our experiments show that using the covariance descriptor with an off-the-shelf classification algorithm outperforms the state of the art in action recognition on multiple datasets, captured either via a Kinect-type sensor or a sophisticated motion capture system. We also include an evaluation on a novel large dataset using our own annotation.
Numerous collaborative design tools have been developed to accelerate the product development, and recently environments for building distributed simulations have been proposed. For example, a simulation framework cal...
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Numerous collaborative design tools have been developed to accelerate the product development, and recently environments for building distributed simulations have been proposed. For example, a simulation framework called DOME (Distributed Object-oriented Modeling and Evaluation) has been developed in MIT CADlab. DOME is unique in its decentralized structure that allows heterogeneous simulations to be stitched together while allowing proprietary information an simulation models to remain secure with each participant. While such an approach offers many advantages, it also hides causality and sensitivity information, making it difficult for designers to understand problem structure and verify solutions. The purpose of this research is to analyze the relationships between design parameters (causality) and the strength of the relationships (sensitivity) in decentralized web-based design simulation. Algorithms and implementations for the causality and sensitivity analysis are introduced. Causality is determined using Granger's definition of causality, which is to distinguish causation from association using conditional variance of the suspected output variable. Sensitivity is estimated by linear regression analysis and a perturbation method, which transfers the problem into a frequency domain by generating periodic perturbations. Varying Internet latency and disturbances are problematic issues with these methods. Thus, new algorithms are developed and tested to overcome these problems.
A scheme is proposed to provide multiple QoS guarantees for survivable generalised multiprotocol label switching (GMPLS) networks. The shared risk link group (SRLG) information is considered to provide failure-indepen...
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The term "color temperature" represents the color of light source or the white point of image displaying devices such as TV and PC monitor. In this paper, our goal is to find an appropriate method of convert...
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The use of endoscopy or colonoscopy methods are common to examine and diagnose gastrointestinal disorders in stomach, colon or some sections of the intestine. However, these methods are invasive, costly, time-consumin...
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A novel and facile oxidation-induced self-doping process of graphene-silicon Schottky junction by nitric acid(HNO3) vapor is reported. The HNO3 oxidation process makes graphene p-type self-doped, and leads to a high...
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A novel and facile oxidation-induced self-doping process of graphene-silicon Schottky junction by nitric acid(HNO3) vapor is reported. The HNO3 oxidation process makes graphene p-type self-doped, and leads to a higher built-in potential and conductivity to enhance charge transfer and to suppress charge carrier recombination at the graphene-silicon Schottky junction. After the HNO3 oxidation process, the open-circuit voltage is increased from the initial value of 0.36 V to the maximum value of 0.47 V, the short-circuit current is greatly increased from 0.80μA to 7.71μA, and the ideality factor is optimized from 4.4 to 1.0. The enhancement of the performance of graphene-Si solar cells may be due to oxidation-induced p-type self-doping of graphene-Si junctions.
A new method based on cryptography to ensure voters and candidates' confidentiality in the Internet E-Voting, referred to as the Name and vOte separaTed E-voting (NOTE) system, is proposed. In NOTE, an impartial p...
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In this paper, we propose a new technique, called a delayed locking technique, to improve the real-time performance of embedded Linux. The proposed technique employs the rule that entering a critical section is allowe...
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In this paper, we investigate the problem that asks if there exists a net of a polycube that is exactly a rectangle with slits. For this nontrivial question, we show affirmative solutions. First, we show some concrete...
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