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| Articles
by
Hao Wang |
Total Records (
9 ) for
Hao Wang |
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Hao Wang
and
Ruey Long Cheu
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This study presents a real-time system for monitoring the
security of commercial vehicles. Embedded in the security monitoring system
is a commercial vehicle tracking and incident detection algorithm which relies
on a combination of vehicle telemetry data obtained from Global Positioning
Systems and on-board sensors to continuously monitor the route choice and overall
security condition of the concerned vehicle. The performance of this algorithm
has been tested in a microscopic simulation model, on a set of hypothetical
scenarios which included deviations from the approved routes, forced to travel
at unreasonably low speeds, or even stopped at unexpected places in the network.
The initial results indicate that the proposed system has good potential in
detecting abnormal driving behaviors with a high detection rate and quick mean
detection time. |
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Hao Wang
,
Bing Ma
,
Jiaojiao Ding
and
Shuaibin Li
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The aeroelasticity of the wind turbine blade has become more and more important because the blade is becoming larger and larger. The influence of structural viscous damping will be introduced into the time domain analysis of the wind turbine blade, in order to analyze the aeroelastic response and control the flutter region of the wind turbine blade airfoil. The equation of motion for the blade airfoil, with the controllable viscous damping was established, based on the simplified aerodynamic force and torque calculated by the modified blade element momentum theory. The time domain responses of aeroelasticity of the wind turbine blade are analyzed numerically. The simulation results demonstrate that the torsional motion always keeps stable, but the flap motion shows very complicatedly aeroelastic response. Compared with the aeroelastic responses without damping, there are also two critical tip speed ratios with damping considered. When the viscous damping is taken in account, the lower critical tip speed ratio will become larger and the higher critical tip speed ratio will become smaller, as a result, the flutter region will be shortened. And if the damping coefficients are increased, the flutter region will be reduced much more quickly and even there is no flutter region at all when the damping coefficients become much larger. Therefore, if the damping can be controlled and applied to suppress the flutter of the wind turbine blade, it will work very efficiently. |
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Hao Wang
,
Salvador Hernandez
and
Ruey Long Cheu
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This study proposes a Centralized Carrier Collaboration Multi-hub Location Problem (CCCMLP) with processing cost at hub for the small-to medium-sized LTL industry where a central entity (e.g., a third party logistics firm) seeks a set of hybrid collaborative consolidation transshipment hubs to help establish a collaborative hybrid hub-and-spoke network that minimized the total collaborative costs for the set of collaborating carriers in the system. A mathematical programming formulation was provided for the CCCMLP with hub processing cost and shown to be NP-hard. The model was solved using a two-phase tabu search heuristics. Computational runs were conducted to study the efficiency of the tabu search heuristic over CPLEX. As the expected cost reduction at the shipment level needed to incentivize collaboration decreases, likelihood of carriers entering into collaboration increases. If the carriers expect significant cost reductions to enter into a collaborative strategy, then the potential savings from the collaboration will decrease. |
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Runmei Zhang
,
Xuegang Hu
,
Hao Wang
and
Hongliang Yao
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Fault diagnosis is an important way to improve the reliability of complex systems.
Machine learning algorithm is an effective means to improve the efficiency of
fault diagnosis and Bayesian networks is widely used in the fault diagnosis
due to its advantages in uncertainty reasoning. Being unable to select the fault
paths effectively, the existing fault diagnosis algorithm based on Bayesian
network cannot detect faulty nodes accurately and has high computational complexity.
In this study Bayesian networks sensitivity analysis is introduced into fault
diagnosis and a kind of Bayesian network fault diagnosis algorithm, SA_FD, is
presented in complicated system. First, the formal model of Bayesian fault diagnosis
networks is given. Second, the model of how parent nodes influence their child
nodes is built based on sensitivity analysis. Last, sensitivity analysis of
the nodes are used to detect the faulty nodes based on heuristic path search
method, to overcome the blindness of existing algorithm in searching important
parent nodes and selecting the fault paths so as to improve performance of fault
diagnosis effectively. Experimental results show that SA_FD is more efficient
is than DFS and DFC obviously, although its complexity increases with the scale
of the network. |
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Lizhong Han
,
Mingming Li
,
Hao Wang
,
Guanjun Lu
and
Peijun Li
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Background and Objective: The mutation in the V-type proton ATPase enzyme is encoded by the ATP6V0A4 gene and it leads to renal tubular acidosis associated with preserved hearing. Both in mice and human, the B1 and A4 subunit are the two important subunits which play a major role. The mutation of B1 subunit of heterozygous carriers in human leads to incomplete dRTA and calcium deposits (kidney stone) in humans. Therefore, the present study aimed to investigate the development of acid-base disturbances in ATP6V0A4 gene mutation in mice during a seven-day acid-load. Materials and Methods: In this investigation ATP6V0A4+/+ (wildtype), ATP6V0A4+/- (heterozygous) and ATP6V0A4-/- (homozygous) mice were subjected to 7 days acid-load and the metabolic and biochemical changes were monitored and analyzed to observe the acid-base balance, kidney function and protein expression. Results: The study observed that ATP6V0A4-/- mice tend to have a high level of alkali urine and low concentration of NH4 level. On the other hand, the ATP6V0A4+/- mice observed no significant difference in the biochemical parameters for urine analysis. But the heterozygous (+/-) mice observed a higher level of Cl– and pCO2. The study observed that ATP6V0A4+/+ and ATP6V0A4+/- mice had localized intercalated cells in the B1 subunit. However, the expression of B1 and A4 subunit gradually decreased in the ATP6V0A4+/+ renal membrane. There were the reduction in the B1 subunit in the ATP6V0A4-/- and the ablation of B1 subunit was observed in the collecting duct of the ATP6V0A4-/- mice. Conclusion: To conclude, the study observed that ATP6V0A4+/- mice developed a mild distal-RTA which is compensated by respiration and in the absence of the B1 subunit for the compensatory mechanism occurs inside the collecting duct of ATP6V0A4-/- mice kidneys. |
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Hao Wang
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Jiaojiao Ding
and
Bing Ma
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Considering the non-stationary Theodorsen aerodynamic force,
which was often used for the prediction of the classical flutter of the fixed
wing aircraft, the flutter analysis of wind turbine blade airfoil was carried
out through the use of the V-g method, based on the equation of motion of wind
turbine blade airfoil. So the problem of the flutter critical velocity of blade
airfoil should be solved using the eigenproblem and the V-g curve and V-ωcurve
will be given. Then, the influencing factors of the flutter critical speed for
the wind turbine blade airfoil, that is, the chordwise location of the center
of mass, the ratio of flapwise natural frequency to the torsion natural frequency,
the ration of mass and the location of three centers (aerodynamic center, stiffness
center and the center of mass), were researched in great details. As the conclusions,
the guidelines for the blade design, which can improve the flutter critical
speed, can be obtained as: (1) Move forward the center of mass, (2) Keep the
ratio of natural frequency square not equaling and far away from 1, (3) Choose
the area of lower density of air as wind farm and (4) Reduce the distance between
the aerodynamic center, stiffness center and the center of mass. These guidelines
can be applied for the anti-flutter designs of the wind turbine blade. |
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Wen-Dong Song
,
Jian-Bin Yan
,
Hao Wang
,
Li-Li Ji
,
De-Yun Ma
and
Seik Weng Ng
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Three lanthanide coordination polymers, [Ln4(BDC)6(H2O)2]n
(Ln = Er, 1; Ln = Tm, 2; BDC = 1,2-benzenedicarboxylate) and {[Nd2(BDC)(EDTA)(H2O)2]
· 1.5H2O}n, 3, were prepared by hydrothermal
synthesis and characterized by elemental analysis, IR spectra, as well as single-crystal
X-ray diffraction. The isostructural coordination polymers 1 and 2
exhibit four different coordination modes, which are rarely found in one lanthanide
complex. Complex 3 displays a 2-D wave-like network assembled by two polycarboxylate
ligands. |
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Weiqi Huang
,
Chunliu Zhu
,
Hao Wang
,
Elizabeth Horvath
and
Elizabeth A. Eklund
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The interferon consensus sequence-binding protein (ICSBP/IRF8) is an interferon regulatory factor that is expressed in myeloid and B-cells. ICSBP-deficient mice develop a myeloproliferative disorder characterized by cytokine hypersensitivity and apoptosis resistance. To identify ICSBP target genes involved in these effects, we screened a CpG island microarray with chromatin that co-immunoprecipitated with ICSBP from myeloid cells. Using this technique, we identified PTPN13 as an ICSBP target gene. PTPN13 encodes Fas-associated phosphatase 1 (Fap-1), a ubiquitously expressed protein-tyrosine phosphatase. This was of interest because interaction of Fap-1 with Fas results in Fas dephosphorylation and inhibition of Fas-induced apoptosis. In this study, we found that ICSBP influenced Fas-induced apoptosis in a Fap-1-dependent manner. We also found that ICSBP interacted with a cis element in the proximal PTPN13 promoter and repressed transcription. This interaction increased during myeloid differentiation and was regulated by phosphorylation of conserved tyrosine residues in the interferon regulatory factor domain of ICSBP. ICSBP deficiency was present in human myeloid malignancies, including chronic myeloid leukemia. Therefore, these studies identified a mechanism for increased survival of mature myeloid cells in the ICSBP-deficient murine model and in human myeloid malignancies with decreased ICSBP expression. |
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Dajiang Qin
,
Yi Gan
,
Kaifeng Shao
,
Hao Wang
,
Wen Li
,
Tao Wang
,
Wenzhi He
,
Jianyong Xu
,
Yu Zhang
,
Zhaohui Kou
,
Lingwen Zeng
,
Guoqing Sheng
,
Miguel A. Esteban
,
Shaorong Gao
and
Duanqing Pei
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Induced pluripotent stem cell technology, also termed iPS, is an emerging approach to reprogram cells into an embryonic stem cell-like state by viral transduction with defined combinations of factors. iPS cells share most characteristics of embryonic stem cells, counting pluripotency and self-renewal, and have so far been obtained from mouse and humans, including patients with genetic diseases. Remarkably, autologous transplantation of cell lineages derived from iPS cells will eliminate the possibility of immunological rejection, as well as current ethical issues surrounding human embryonic stem cell research. However, before iPS can be used for clinical purposes, technical problems must be overcome. Among other considerations, full and homogeneous iPS reprogramming is an important prerequisite. However, despite the fact that cells from several mouse tissues can be successfully induced to iPS, the overall efficiency of chimera formation of these clones remains low even if selection for Oct4 or Nanog expression is applied. In this report, we demonstrate that cells from the mouse meningeal membranes express elevated levels of the embryonic master regulator Sox2 and are highly amenable to iPS. Meningeal iPS clones, generated without selection, are fully and homogeneously reprogrammed based on DNA methylation analysis and 100% chimera competent. Our results define a population of somatic cells that are ready to undergo iPS, thus highlighting a very attractive cell type for iPS research and application. |
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