HKUST Fok Ying Tung Graduate School

Nansha, China

HKUST Fok Ying Tung Graduate School

Nansha, China
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Zhu Y.,Shanghai JiaoTong University | Qiu Y.,Shanghai JiaoTong University | Wu Y.,Shanghai JiaoTong University | Gao M.,HKUST Fok Ying Tung Graduate School | And 2 more authors.
Wireless Networks | Year: 2013

Efficient data delivery in vehicular networks has received increasing attention in recent years. Existing routing protocols for vehicular networks can be loosely divided into two classes: road based routing (RBR) and road oblivious routing (ROR). RBR finds a routing path along roads while ROR does not explicitly forward packets along roads. Our empirical study based on real trace-driven experiments shows that using either of an RBR algorithm or an ROR algorithm alone in a realistic vehicular network setting leads to deficiency. This results from the fact that network conditions can be different at different locations and evolving over time. Motivated by this important observation, this paper proposes an adaptive routing algorithm called RWR that adapts its routing strategy to network dynamics as the packet travels from the source to the destination. Extensive simulations based on a large dataset of real vehicular traces collected from around 2,600 taxis in Shanghai have been conducted. Comparison study shows that RWR produces higher delivery ratio than TSF and GPCR, representative routing algorithms of RBR and ROR, respectively. It achieves low delivery delay at the same time. © 2013 Springer Science+Business Media New York.


Zhu Y.,Shanghai JiaoTong University | Zhu Y.,Shanghai Key Laboratory of Scalable Computing and Systems | Chen C.,Shanghai JiaoTong University | Gao M.,HKUST Fok Ying Tung Graduate School
Eurasip Journal on Wireless Communications and Networking | Year: 2013

Vehicular networks have attracted increasing attention from both the academy and industry. Applications of vehicular networks require efficient data communications between vehicles, whose performance is concerned with delivery ratio, delivery delay, and routing cost. The most previous work of routing in vehicular networks assumes oversimplified node mobility when evaluating the performance of vehicular networks, e.g., random mobility or artificial movement traces, which fails to reflect the inherent complexity of real vehicular networks. To understand the achievable performance of vehicular networks under real and complex environments, we first comprehensively analyze the affecting factors that may influence the performance of vehicular networks and then introduce four representative routing algorithms of vehicular networks, i.e., Epidemic, AODV, GPSR, and MaxProp. Next, we develop an NS-2 simulation framework incorporating a large dataset of real taxi GPS traces collected from around 2,600 taxis in Shanghai, China. With this framework, we have implemented the four routing protocols. Extensive trace-driven simulations have been performed to explore the achievable performance of real vehicular networks. The impact of the controllable affecting factors is investigated, such as number of nodes, traffic load, packet TTL, transmission range, and propagation model. Simulation results show that a real vehicular network has surprisingly poor data delivery performance under a wide range of network configurations for all the routing protocols. This strongly suggests that the challenging characteristics of vehicular networks, such as unique node mobility, constraints of road topology, need further exploration. © 2013 Liao et al.; licensee Springer.


Xu X.-T.,HKUST Fok Ying Tung Graduate School | Liang K.-Y.,University of Maine, France | Zeng J.-Y.,South China University of Technology
Analyst | Year: 2014

A portable and sensitive quantitative DNA detection method using personal glucose meters (PGMs) and Exonuclease III-assisted signal amplification was developed. In the presence of target DNA, a target recycling process that can release target and linker DNA was obtained. The released linker DNA was used to link capture DNA on magnetic beads and the DNA invertase. After the washing away of unbound target DNA and subsequent DNA-invertase conjugation, the bound DNA-invertase can be used to catalyze the hydrolysis of sucrose into glucose with millions of turnovers, which transforms the concentration of target DNA into the level of glucose monitored by PGMs. There was a linear relationship between the signal of PGM and the concentration of target DNA in the range of 0.5 pM to 100 pM. A correlation coefficient of 0.989 was obtained, and the relative standard deviation (RSD) was 4.1% for a concentration of 50 pM target DNA (n = 9). In addition, the method exhibits excellent sequence selectivity, being able to differentiate a single mismatch in the target DNA. What is more, there was almost no effect from biological complexes on detection performance, which suggests our method can be successfully applied to DNA detection in real biological samples. © the Partner Organisations 2014.


Xue-Tao X.,HKUST Fok Ying Tung Graduate School | Kai-Yi L.,University of Maine, France | Jia-Ying Z.,South China University of Technology
Analytical Methods | Year: 2015

In this paper, a highly sensitive and portable mercury(ii) ion sensor based on personal glucose meter (PGM) recording is proposed. Thymine-thymine mismatches in the capture and detection of DNA were used to recognize target Hg2+. Magnetic separation and hydrolysis of sucrose into glucose of DNA-invertase conjugation were employed to obtain the PGM signal. There was a linear relationship between the PGM signal and the concentration of Hg2+ in the range of 8.0 nM to 1 μM. A correlation coefficient of 0.995 was obtained and the relative standard deviation was 3.6% for a concentration of 100 nM Hg2+ (n = 9). The selectivity and performance of the Hg2+ sensor in lake water, tap water and river water were also studied, which suggested our method has a great potential to be used in real applications. © 2014 The Royal Society of Chemistry.


Xue-Tao X.,HKUST Fok Ying Tung Graduate School | Kai-Yi L.,University of Maine, France | Jia-Ying Z.,South China University of Technology
Biosensors and Bioelectronics | Year: 2015

A portable and sensitive quantitative DNA detection method based on personal glucose meters and isothermal circular strand-displacement polymerization reaction was developed. The target DNA triggered target recycling process, which opened capture DNA. The released target then found another capture DNA to trigger another polymerization cycle, which was repeated for many rounds, resulting in the multiplication of the DNA-invertase conjugation on the surface of Streptavidin-MNBs. The DNA-invertase was used to catalyze the hydrolysis of sucrose into glucose for PGM readout. There was a liner relationship between the signal of PGM and the concentration of target DNA in the range of 5.0 to 1000. fM, which is lower than some DNA detection method. In addition, the method exhibited excellent sequence selectivity and there was almost no effect of biological complex to the detection performance, which suggested our method can be successfully applied to DNA detection in real biological samples. © 2014 Elsevier B.V.


Liang J.-Z.,South China University of Technology | Ruan J.-Q.,South China University of Technology | Li B.,HKUST Fok Ying Tung Graduate School
Journal of Polymer Engineering | Year: 2014

The effects of the filler content and its surface treatment on the tensile and flow properties of the polypropylene (PP) composites filled with wollastonite (CaSiO3) were investigated. The results showed that the introduction of the filler could reinforce the PP resin, while the influence of the filler surface treatment on the tensile and flow property was insignificant. The melt volume flow rate (MVR) of the composites decreased nonlinearly, while the Young's modulus increased nonlinearly with increasing filler weight fraction (ℓw); the tensile strength and tensile fracture strength increased significantly when ℓw was < 10% and then decreased slightly with increasing ℓw. The elongation at break decreased significantly when ℓw was < 10% and then decreased slightly with the increase of ℓw. Moreover, the Young's modulus was estimated using the equation published earlier, and a good agreement was shown between the predicted data and the measured data.


Liang J.Z.,South China University of Technology | Li B.,HKUST Fok Ying Tung Graduate School | Ruan J.Q.,South China University of Technology
Polymer Testing | Year: 2015

The influence of wollastonite (CaSiO3) content on the crystallization properties and thermal stability of polypropylene (PP) composites was investigated. The results showed that the crystallization temperature, crystallization end temperature and crystallization temperature interval, as well as the degree of crystallinity of the composites, were higher than those of the unfilled PP resin, while the crystallization onset temperature was little changed from that of the unfilled PP resin. The increase of degree of crystallinity for the composites could be attributed to the heterogeneous nucleation of the CaSiO3 in the PP matrix. The thermal stability increased with increasing filler weight fraction (φf); the thermal decomposition rate decreased nonlinearly with increasingφf. Finally, the dispersion of the filler particles in the matrix was observed, and the mechanisms of thermal stability and crystallizing behavior were discussed. © 2015 Elsevier Ltd. All rights reserved.


PubMed | HKUST Fok Ying Tung Graduate School
Type: Journal Article | Journal: The Analyst | Year: 2014

A portable and sensitive quantitative DNA detection method using personal glucose meters (PGMs) and Exonuclease III-assisted signal amplification was developed. In the presence of target DNA, a target recycling process that can release target and linker DNA was obtained. The released linker DNA was used to link capture DNA on magnetic beads and the DNA invertase. After the washing away of unbound target DNA and subsequent DNA-invertase conjugation, the bound DNA-invertase can be used to catalyze the hydrolysis of sucrose into glucose with millions of turnovers, which transforms the concentration of target DNA into the level of glucose monitored by PGMs. There was a linear relationship between the signal of PGM and the concentration of target DNA in the range of 0.5 pM to 100 pM. A correlation coefficient of 0.989 was obtained, and the relative standard deviation (RSD) was 4.1% for a concentration of 50 pM target DNA (n = 9). In addition, the method exhibits excellent sequence selectivity, being able to differentiate a single mismatch in the target DNA. What is more, there was almost no effect from biological complexes on detection performance, which suggests our method can be successfully applied to DNA detection in real biological samples.

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