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Search Results: 1 - 10 of 48505 matches for " Tao Lu "
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Construction of Virtual Information Center in Scene Disposition of Unexpected Public Emergency Events  [PDF]
Jing-Xin Zhou, Tao Lu
iBusiness (IB) , 2011, DOI: 10.4236/ib.2011.31009
Abstract: Unexpected public emergency events have occurred frequently in recent years. How to deal with these events quickly and efficiently has become an important issue. First, the paper describes the importance of information in scene management of unexpected public emergency events, then points out the weaknesses and shortcomings of current emergency plans. After that a model of virtual information center for unexpected public emergency events is proposed. Finally, the paper describes how to build a virtual information center for assisting emergency work by a case.
Tao Zhang,Jingmei Lu
Acta Crystallographica Section E , 2008, DOI: 10.1107/s1600536808021818
Abstract: The title compound, [Nd(OH)(SO4)]n, was obtained hydrothermally from an aqueous solution of neodymium nitrate, 1,2-propanediamine and sulfuric acid. The structure features nonacoordinated neodymium with sulfate and hydroxide anions acting as bridging ligands. The OH group forms a weak O—H...O hydrogen bond with an O...O distance of 3.224 (5) .
A Systematic Approach to Context Aware Service Design
Tao Lu,Jie Bao
Journal of Computers , 2012, DOI: 10.4304/jcp.7.1.207-217
Abstract: Timely design, development and marketing of new service with creative and innovative features are essential for service firm. Context-aware service, in which contextual information is used to adapt the behavior of service automatically to user’s situation and need, is recognized to open up new opportunities for the service creation and service innovation. However, despite of technological possibility, context-aware service is still in its infancy. Lack of systematic methodology for service logic design is one of problems limiting the usage of contextual information to greatest extent. In this paper, we propose petri net as formalism for building a logic model of context-aware service. We make a further study about the dynamic behaviors and properties of the context aware service model, such as deadlock, invalid transition and inconsistency, etc. On this basis, we present a scenario-based method to design context-aware service model. A guidance system for elderly with dementia is designed by this method and the result has partly proved the effectiveness of our model and algorithm.
New Intelligent Method of Forecasting Control for Fishing Boat Security in the Coastal Area of Fujian
Wei He,Tao Lu
Research Journal of Applied Sciences, Engineering and Technology , 2012,
Abstract: To ensure the fishing boat security in the coastal area of Fujian, it is imperative to develop efficient forecasting control system to manage the boats operation in a safe and orderly process. The core issue of establishing the forecasting control system is to predict the relationship of the real time traffic flow and the boat security condition. However, literature review shows that limited reports have addressed on this problem. Hence, a new intelligent forecasting control method base on the Chaos-Particle Swarm Optimization (PSO) and Fuzzy Neural Network (FNN) is proposed for the short time traffic flow prediction in this paper. The Empirical Mode Decomposition (EMD) was first used to denoise the original ship traffic flow observation and then the Chaos-PSO-FNN was applied to the forecasting of the ship traffic flow and hence established the relationship of the real time traffic flow and the boat security condition. The advantage of the proposed approach is that the Chaos-PSO is employed to optimize the FNN parameters to overcome the premature problem of the FNN. As a result, the forecasting control performance is enhanced greatly. In the experiment analysis, the fishing boat traffic information provided by the Fujian marine bureau has been used to evaluate the newly proposed method. The analysis results demonstrate that the proposed Chaos-PSO-FNN method can extract distinct features of the traffic data and the prediction rate is beyond 93.7%. In addition, it found that the fishing boats is supposed to be safe when their travel time avoids the rush time of the traffic flow. This result agrees well with the real data. Thus, the new intelligent forecasting control method for fishing boat security can be used in practice.
Avian magnetoreception model realized by coupling magnetite-based mechanism with radical-pair-based mechanism
Yan Lu,Tao Song
Physics , 2012,
Abstract: Many animal species were verified to use geomagnetic field for their navigation, but the biophysical mechanism of magnetoreception has remained enigmatic. This paper presents a special biophysical model that consists of magnetite-based and radical-pair-based mechanisms for avian magnetoreception. The amplitude of the resultant magnetic field around the magnetic particles corresponds to the geomagnetic field direction and affects the yield of singlet/triplet state products in the radical-pair reactions. Therefore, in the proposed model, the singlet/triplet state product yields are related to the geomagnetic field information for orientational detection. The resultant magnetic fields corresponding to two materials with different magnetic properties were analyzed under different geomagnetic field directions. The results showed that ferromagnetic particles in organisms can provide more significant changes in singlet state products than superparamagnetic particles, and the period of variation for the singlet state products with an included angle in the geomagnetic field is approximately 180{\deg} when the magnetic particles are ferromagnetic materials, consistent with the experimental results obtained from avian magnetic compass. Further, the calculated results of the singlet state products in a reception plane showed that the proposed model can explain the avian magnetoreception mechanism with an inclination compass.
Link Prediction in Complex Networks: A Survey
Linyuan Lu,Tao Zhou
Physics , 2010, DOI: 10.1016/j.physa.2010.11.027
Abstract: Link prediction in complex networks has attracted increasing attention from both physical and computer science communities. The algorithms can be used to extract missing information, identify spurious interactions, evaluate network evolving mechanisms, and so on. This article summaries recent progress about link prediction algorithms, emphasizing on the contributions from physical perspectives and approaches, such as the random-walk-based methods and the maximum likelihood methods. We also introduce three typical applications: reconstruction of networks, evaluation of network evolving mechanism and classification of partially labelled networks. Finally, we introduce some applications and outline future challenges of link prediction algorithms.
Highly Efficient Boundary Element Analysis of Whispering Gallery Microcavities
Leyuan Pan,Tao Lu
Physics , 2014, DOI: 10.1109/LPT.2014.2358938
Abstract: We demonstrate that the efficiency of the boundary element whispering gallery microcavity analysis can be improved by orders of magnitude with the inclusion of Fresnel approximation. Using this formulation, simulation of a microdisk with wave-number-radius product as large as $kR\approx8,000$ was demonstrated in contrast to a previous record of $kR\approx100$. In addition to its high accuracy on computing the modal field distribution and resonance wavelength, this method yields a relative error of $10%$ in calculating the quality factor as high as $10^{11}$ through a direct root searching method where the conventional boundary element method failed to achieve. Finally, quadrupole shaped cavities and double disks as large as $100 {\mu}m$ in diameter were modeled by employing as few as $512$ boundary elements whilst the simulation of such large cavities using conventional boundary element method were not reported previously.
Improved Efficiency Guarantees in Auctions with Budgets
Pinyan Lu,Tao Xiao
Computer Science , 2014,
Abstract: We study the efficiency guarantees in the simple auction environment where the auctioneer has one unit of divisible good to be distributed among a number of budget constrained agents. With budget constraints, the social welfare cannot be approximated by a better factor than the number of agents by any truthful mechanism. Thus, we follow a recent work by Dobzinski and Leme (ICALP 2014) to approximate the liquid welfare, which is the welfare of the agents each capped by her/his own budget. We design a new truthful auction with an approximation ratio of $\frac{\sqrt{5}+1}{2} \approx 1.618$, improving the best previous ratio of $2$ when the budgets for agents are public knowledge and their valuation is linear (additive). In private budget setting, we propose the first constant approximation auction with approximation ratio of $34$. Moreover, this auction works for any valuation function. Previously, only $O(\log n)$ approximation was known for linear and decreasing marginal (concave) valuations, and $O(\log^2 n)$ approximation was known for sub-additive valuations.
Role of Weak Ties in Link Prediction of Complex Networks
Linyuan Lu,Tao Zhou
Computer Science , 2009,
Abstract: Plenty of algorithms for link prediction have been proposed and were applied to various real networks. Among these works, the weights of links are rarely taken into account. In this paper, we use local similarity indices to estimate the likelihood of the existence of links in weighted networks, including Common Neighbor, Adamic-Adar Index, Resource Allocation Index, and their weighted versions. In both the unweighted and weighted cases, the resource allocation index performs the best. To our surprise, the weighted indices perform worse, which reminds us of the well-known Weak Tie Theory. Further extensive experimental study shows that the weak ties play a significant role in the link prediction problem, and to emphasize the contribution of weak ties can remarkably enhance the predicting accuracy.
Modeling long-term longitudinal HIV dynamics with application to an AIDS clinical study
Yangxin Huang,Tao Lu
Statistics , 2009, DOI: 10.1214/08-AOAS192
Abstract: A virologic marker, the number of HIV RNA copies or viral load, is currently used to evaluate antiretroviral (ARV) therapies in AIDS clinical trials. This marker can be used to assess the ARV potency of therapies, but is easily affected by drug exposures, drug resistance and other factors during the long-term treatment evaluation process. HIV dynamic studies have significantly contributed to the understanding of HIV pathogenesis and ARV treatment strategies. However, the models of these studies are used to quantify short-term HIV dynamics ($<$ 1 month), and are not applicable to describe long-term virological response to ARV treatment due to the difficulty of establishing a relationship of antiviral response with multiple treatment factors such as drug exposure and drug susceptibility during long-term treatment. Long-term therapy with ARV agents in HIV-infected patients often results in failure to suppress the viral load. Pharmacokinetics (PK), drug resistance and imperfect adherence to prescribed antiviral drugs are important factors explaining the resurgence of virus. To better understand the factors responsible for the virological failure, this paper develops the mechanism-based nonlinear differential equation models for characterizing long-term viral dynamics with ARV therapy. The models directly incorporate drug concentration, adherence and drug susceptibility into a function of treatment efficacy and, hence, fully integrate virologic, PK, drug adherence and resistance from an AIDS clinical trial into the analysis. A Bayesian nonlinear mixed-effects modeling approach in conjunction with the rescaled version of dynamic differential equations is investigated to estimate dynamic parameters and make inference. In addition, the correlations of baseline factors with estimated dynamic parameters are explored and some biologically meaningful correlation results are presented. Further, the estimated dynamic parameters in patients with virologic success were compared to those in patients with virologic failure and significantly important findings were summarized. These results suggest that viral dynamic parameters may play an important role in understanding HIV pathogenesis, designing new treatment strategies for long-term care of AIDS patients.
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