Giang Nguyễn - Academia.edu (original) (raw)
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Papers by Giang Nguyễn
Annals of Eye Science, 2018
ABSTRACT Hand detection is the first step in almost hand posture recognition systems. This paper ... more ABSTRACT Hand detection is the first step in almost hand posture recognition systems. This paper presents a hand detection method based on Viola-Jones detector [1]. The main contribution of this work is a new approach for hand detection that detects internal region of the hand without background based on local features of this internal region. We call the set of these features as Internal Features. In case of Haar-like features, we call them as Internal Haar-like features. We also propose a framework for hand detection that combines several individual hand posture detectors. Experimental result shows that the proposed method outperforms the conventional method based on Viola-Jones detector with the same computation time. The proposed method is reliable for hand detection in the hand posture recognition system.
Emergency Radiology, 2004
IET Communications, 2014
In this study, the authors propose an equivocation scheme for wiretap channels, which is composed... more In this study, the authors propose an equivocation scheme for wiretap channels, which is composed of bit-extension mapping, coset coding and hybrid automatic repeat request (HARQ). The inner bit-extension code and outer coset code are used for equivocation of a wiretapper channel, whereas the HARQ scheme is to mitigate noisy errors in a main legitimate channel. These concatenated codes and HARQ are effective and practical for various channel conditions. The average equivocation and the probability of causing imperfect secrecy are analysed for finite codeword lengths. As a function of channel conditions, they investigate the block error rate at the legitimate receiver and the information leakage to the wiretapper. From simulation results, they further determine the minimum requirements of code design for some target values of the `residual' block error rate and information leakage at maximum retransmission.
2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014
Localization using the received signal strength (RSS) is a popular technique in the indoor locati... more Localization using the received signal strength (RSS) is a popular technique in the indoor location aware service because of the wide deployment of wireless local area networks (WLANs) and the spreading of mobile device with the measuring RSS function. In this paper, we investigate the RSS-based WLAN indoor positioning system using ℓ0-norm recovery support of sparse representation. Based on the fingerprinting method, the radio map (RM) constructed in offline phase is decomposed into a dictionary and a corresponding sparse representation matrix, using the K-SVD learning overcomplete dictionary algorithm. The learned dictionary guarantees the condition of stable recovery sparse representation. The position of each reference point (RP) in the RM is characterized by an unique support in each vector of sparse representation. We use the orthogonal matching pursuit algorithm to find the support of sparse representation of the real-time measured RSS vector over the learned dictionary and thereby determine which RP is closest to the user. This is an ℓ0-norm minimization problem. We also study the effect of the other RPs to the recovery solution of real-time measurement vector. We first derive the weighted vector that reflects the contribution of each RP in the localization formulation, then the user position is estimated by this vector and the positions of RPs.
Biomedical Tissue Culture, 2012
2013 International Conference on Advanced Technologies for Communications (ATC 2013), 2013
Annals of Eye Science, 2018
ABSTRACT Hand detection is the first step in almost hand posture recognition systems. This paper ... more ABSTRACT Hand detection is the first step in almost hand posture recognition systems. This paper presents a hand detection method based on Viola-Jones detector [1]. The main contribution of this work is a new approach for hand detection that detects internal region of the hand without background based on local features of this internal region. We call the set of these features as Internal Features. In case of Haar-like features, we call them as Internal Haar-like features. We also propose a framework for hand detection that combines several individual hand posture detectors. Experimental result shows that the proposed method outperforms the conventional method based on Viola-Jones detector with the same computation time. The proposed method is reliable for hand detection in the hand posture recognition system.
Emergency Radiology, 2004
IET Communications, 2014
In this study, the authors propose an equivocation scheme for wiretap channels, which is composed... more In this study, the authors propose an equivocation scheme for wiretap channels, which is composed of bit-extension mapping, coset coding and hybrid automatic repeat request (HARQ). The inner bit-extension code and outer coset code are used for equivocation of a wiretapper channel, whereas the HARQ scheme is to mitigate noisy errors in a main legitimate channel. These concatenated codes and HARQ are effective and practical for various channel conditions. The average equivocation and the probability of causing imperfect secrecy are analysed for finite codeword lengths. As a function of channel conditions, they investigate the block error rate at the legitimate receiver and the information leakage to the wiretapper. From simulation results, they further determine the minimum requirements of code design for some target values of the `residual' block error rate and information leakage at maximum retransmission.
2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014
Localization using the received signal strength (RSS) is a popular technique in the indoor locati... more Localization using the received signal strength (RSS) is a popular technique in the indoor location aware service because of the wide deployment of wireless local area networks (WLANs) and the spreading of mobile device with the measuring RSS function. In this paper, we investigate the RSS-based WLAN indoor positioning system using ℓ0-norm recovery support of sparse representation. Based on the fingerprinting method, the radio map (RM) constructed in offline phase is decomposed into a dictionary and a corresponding sparse representation matrix, using the K-SVD learning overcomplete dictionary algorithm. The learned dictionary guarantees the condition of stable recovery sparse representation. The position of each reference point (RP) in the RM is characterized by an unique support in each vector of sparse representation. We use the orthogonal matching pursuit algorithm to find the support of sparse representation of the real-time measured RSS vector over the learned dictionary and thereby determine which RP is closest to the user. This is an ℓ0-norm minimization problem. We also study the effect of the other RPs to the recovery solution of real-time measurement vector. We first derive the weighted vector that reflects the contribution of each RP in the localization formulation, then the user position is estimated by this vector and the positions of RPs.
Biomedical Tissue Culture, 2012
2013 International Conference on Advanced Technologies for Communications (ATC 2013), 2013