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Search Results: 1 - 10 of 18572 matches for " Han Baoming "
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Delay Adjustment Method at Transfer Station of High-Speed Railway
Li Xiaojuan,Han Baoming,Zhang Qi
Advances in Mechanical Engineering , 2013, DOI: 10.1155/2013/752632
Abstract: Passenger transfer is one of the important research contents after the network operation of high-speed railway. Due to the high operation speed and high frequency, delays at transfer stations may occur frequently, leading to some potential safety problems. Main influence factors such as schedule time, transfer buffer time, waiting time, and delay time of delay and passengers classification during transfer were analyzed. A delay adjustment model of passengers at a transfer station was presented with minimal delay cost, waiting time cost, and adjustment cost as the optimization goal. Two adjustment strategies were proposed, including transfer passengers departure time adjustment and connecting trains departure time adjustment. And a delay adjustment algorithm at transfer station was designed for the optimal adjustment scheme. A case study proves the effectiveness of the method on optimal scheme design for passengers transfer based on the lowest delay cost of all passengers. 1. Introduction For the high-speed railway network, it is impossible to operate direct train between two stations, especially between the long distance lines and feeder lines. So the passenger transfer is an important research problem of transportation organization. The passenger delays will not only easily lead to safety problems and affect the normal transportation, but also cause the negative effects on society. So an effective delay adjustment method is very critical both for passengers and railway operators. In the past, much research has been dedicated to compute optimum railway timetables to research the train delays and reliability of timetables. Su and Nigel [1] mainly analyzed the frequent minor disruptions (usually last no longer than 10–20 minutes) caused by random disturbances. And they described an integrated real-time disruption control model for a single line on rail transit systems, which includes holding, expressing, and short-turning strategies. Vromans et al. [2] examined reliability in public railway systems. And they decreased the interdependencies between trains by reducing the running time differences per track section and by this creating more homogeneity of a timetable. Huisman et al. [3] discussed some recently developed topics such as shunting and reliability of timetables. And then many studies with a view to optimize timetable synchronization for rail transit and transfer optimization problem [4–7]. They researched the transfer optimization problem by minimizing the passenger transfer time or transfer waiting time of the public transport. Then, many
Absence of a transport signature of spin-orbit coupling in graphene with indium adatoms
Zhenzhao Jia,Baoming Yan,Jingjing Niu,Qi Han,Rui Zhu,Xiaosong Wu,Dapeng Yu
Physics , 2014, DOI: 10.1103/PhysRevB.91.085411
Abstract: Enhancement of the spin-orbit coupling in graphene may lead to various topological phenomena and also find applications in spintronics. Adatom absorption has been proposed as an effective way to achieve the goal. In particular, great hope has been held for indium in strengthening the spin-orbit coupling and realizing the quantum spin Hall effect. To search for evidence of the spin-orbit coupling in graphene absorbed with indium adatoms, we carry out extensive transport measurements, i.e., weak localization magnetoresistance, quantum Hall effect and non-local spin Hall effect. No signature of the spin-orbit coupling is found. Possible explanations are discussed.
Vehicle License Plate Recognition Based on Text-line Construction and Multilevel RBF Neural Network
Baoming Shan
Journal of Computers , 2011, DOI: 10.4304/jcp.6.2.246-253
Abstract: License plate localization and character segmentation and recognition are the research hotspots of vehicle license plate recognition (VLPR) technology. A new method to VLPR is presented in this paper. In license plate localization section, Otsu binarization is operated to get the plate-candidates regions, and a text-line is constructed from the candidate regions. According to the text-line construction result and the characteristics of the license plate character arrangement, the license plate location will be determined. And then the locally optimal adaptive binarization is utilized to make more accurate license plate localization. After the license plate localization, the segment method of vertical projection information with prior knowledge is used to slit characters and the statistical features are extracted. Then the multilevel classification RBF neural network is used to recognize characters using the feature vector as input. The results show that this method can recognize characters precisely and improve the ability of license plate character recognition effectively.
A Novel Image Correlation Matching Approach
Baoming Shan
Journal of Multimedia , 2010, DOI: 10.4304/jmm.5.3.268-275
Abstract: In this paper we present a novel approach which is combined local invariant feature descriptor named ARPIH (Angular Radial Partitioning Intensity Histogram) with histogram-based similar distance (HSD). The approach succeeds the ARPIH descriptor’s distinctive advantage and provides higher robustness in deformation image matching, such as rotation image, illumination changing image and perspective image, etc. Based on the MCD algorithm, we present the HSD algorithm. This algorithm transforms the image matching into the histogram matching by calculating the number of the similar points between template histogram and target histogram in order to decrease the calculation complicacy and improve the matching efficiency. A large amount groups of images are used in testing the approach presented in this paper. The matching results presented here indicate that the presented algorithm is efficient to figure out both the geometric deformation image matching and the illumination changing image matching. Contrast with the traditional matching algorithm, the approach presented in this paper has the obvious advantage of high matching precision, robustness and performance efficiency.
Cold-state Experimental Study on Flow Characteristics of Multi-nozzle in Natural Gas Reburning Burner  [PDF]
Baoming Chen, Zhongxiao Zhang, Degui Bi
Energy and Power Engineering (EPE) , 2013, DOI: 10.4236/epe.2013.54B064
Abstract: Based on the prototypes of a 130 t/h boiler, constant proportional cold-state test bench is established, flow characteristics of multi-nozzle in natural gas reburning burner and its influence on the covering effect for the upflow in the furnace are researched. Numerical simulations of this process are also made with standard  turbulence model. The results show that air flow fullness in furnace is better in the case of the reburning zone with 8 nozzles compared to 4 nozzles and also coverage effect of the reburning flow for the updraft gas in the furnace is better. In the condition each nozzle airflow velocity is constant, the effect of reburning flow on coverage of up-secondary air is best when the incident angle for four corners is 14.17?, while Center of the furnace wall is 84.57. And while the best incident angle is invariable, the effect of reburning flow on coverage of up-secondary air is best when the speed of reburning gas in the corners of furnace is 51 m/s, the same to the center of the furnace wall’s.
Function analysis of two Mn(II) ion transporter genes (DR1709 and DR2523) in Deinococcus radiodurans
S Haiyan, T Baoming
African Journal of Biotechnology , 2010,
Abstract: Deinococcus radiodurans is best known for its extraordinary radiation resistance. Manganese(II) ions can protect proteins from being damaged by super radicals, which is supposed to be the main mechanism through which D. radiodurans has the strong radiation resistance. But the detailed molecular and physiological processes about how Mn(II) ions are transported in this bacterium is still not clear. In this paper, two Mn(II) ions transporter gene (DR1709 and DR2523) mutants were used to study the Mn(II) ions transporting mechanism. Results showed that M1709 was much more sensitive to low concentration of Mn(II) ions than M2523. But it was less sensitive to low concentration of Fe(II) ions than M2523. When there were enough Mn(II) ions in the medium, other genes were also activated to uptake them. But when Mn(II) ions was deficient, DR1709 became the only candidate responsible for Mn(II) assimilation. DR1709 was in charge of Mn(II) ions absorbing, no matter wheather Mn(II) ions supply was enough or not. DR1709 can also control the protease production or secretion to prevent over production. The functions of protease secreted by the strains was limited in radiation resistance. DR2523 was responsible for Mn(II) ions efflux, while DR1709 was a Mn(II) influx transporter, which cannot transport Fe(II) ions.
RNAi of MiASB caused high mortality of Meloidogyne incognita juveniles and inhibited the nematode disease  [PDF]
Yonghong Huang, Mei Mei, Baoming Shen, Zhenchuan Mao, Bingyan Xie
Agricultural Sciences (AS) , 2013, DOI: 10.4236/as.2013.49065
Abstract:

The southern root-knot nematode, Meloidogyne incognita, is one of the most prevalent and damaging plant-parasitic nematodes in the world and causes serious damages to agricultural production. We cloned a mitochondrial ATP synthase b subunit gene fragment of M. incognita (MiASB) based on the nematode genomics prediction. By soaking in the MiASB dsRNA solution, the hatching of RNAi treated eggs was reduced by 60% compared to negative control and by 64% compared to untreated control. Mortality of RNAi treated second stage juvenile (J2) was 8.6 times higher than that of negative control and 26 times higher than the untreated control. Inoculating the RNAi treated egg masses and J2 to tomato seedlings showed the pathogencity was significantly reduced. For the RNAi treated egg masses, the amount of root galls on silence treated seedlings was reduced by 92% compared to that on the negative control seedlings, and reduced by 93% compared to that on untreated control seedlings. For the treated J2, the amount of root galls on silence treated seedlings was reduced by 83% and 86% compared to negative and untreated control seedlings, respectively. The study revealed the MiASB silence had a positive effect on prevention and control of root-knot nematode disease, and also showed that the MiASB may be involved in the pathogenesis of nematode, which provided new ideas and ways to the research of nematode pathology and nematode disease control.

β-adrenergic modulation of in vivo long-term potentiation in area CA1 and its role in spatial learning in rats
Jinzhao Ji,Xuehan Zhang,Baoming Li
Science China Life Sciences , 2003, DOI: 10.1360/02yc0243
Abstract: Activation of β-adrenoceptors in area CA1 of the hippocampus facilitates in vitro long-term potentiation (LTP) in this region. However, it is unclear if in vivo LTP in area CA1 and hippocampus-dependent learning are subjected to β-adrenergic regulation. To address this question, we investigated the effects of the β-adrenergic agonist L-isoproterenol or antagonist DL-propranolol on in vivo LTP of area CA1 and the spatial learning in Morris water maze. In the presence of L-isoproterenol (through local infusion into area CA1), the theta-pulse stimulation with the parameter of 10 Hz, 150 pulses/train, 1 train, a frequency weakly modifying synaptic strength, induced a robust LTP, and this effect was blocked when DL-propranolol was co-administered. By contrast, the theta-pulse stimulation with the parameter of 5 Hz, 150 pulses/train, 3 trains, a frequency strongly modifying synaptic strength, induced a significantly smaller LTP when DL-propranolol was administered into area CA1. Accordingly, DL-propranolol impaired the spatial learning in the water maze when infused into area CA1 20 min pretraining. Compared with control rats, the DL-propranolol-treated rats showed significantly slower learning in the water maze and subsequently exhibited poor memory retention at 24-h test. These results suggest that β-adrenoceptors in area CA1 are involved in regulating in vivo synaptic plasticity of this area and are important for spatial learning.
Assessment and protective strategy of black muntjac habitat in Zhejiang, China

Yixin Bao,Xiang Zheng,Baoming Ge,

生态学报 , 2006,
Abstract: Habitat degradation and loss had been widely recognized as the main cause for the decline of wildlife population. Habitat assessment can provide essential information for wildlife refuge design and management. In this article, a systematic study on the black muntjac distribution, habitat quality, and spatial pattern was conducted. Initially, the main factors that influence the black muntjac habitat quality were identified, and habitat assessment criteria were set up. The vegetation, topographic, river, road, and village maps were then digitized by the geographical information system (GIS). Finally, the habitat distribution and quality were assessed based on the combination of vegetation, elevation, river system, and impact of human activities. The result showed that the potential habitat for black muntjac covered an area of 3172.6 hm2, and 501.5 hm2 of habitat in the Jiulong Mountain Natural Reserve was lost because of the degradation caused by human activities. The existing suitable habitat is 2671.1 hm2, mostly distributed in Shangliaokeng, Jiulongshan, Neibeiping, Waijiulong, and Dayanqian in Gutian, Zhejiang Province, China.
β-adrenergic modulation of in vivo long-term potentiation in area CA1 and its role in spatial learning in rats
JI Jinzhao,ZHANG Xuehan LI Baoming,

中国科学C辑(英文版) , 2003,
Abstract: Activation of beta-adrenoceptors in area CA1 of the hippocampus facilitates in vitro long-term potentiation (LTP) in this region. However, it is unclear if in vivo LTP in area CA1 and hippocampus-dependent learning are subjected to beta-adrenergic regulation. To address this question, we investigated the effects of the beta-adrenergic agonist L-isoproterenol or antagonist DL-propranolol on in vivo LTP of area CA1 and the spatial learning in Morris water maze. In the presence of L-isoproterenol (through local infusion into area CA1), the theta-pulse stimulation with the parameter of 10 Hz, 150 pulses/train, 1 train, a frequency weakly modifying synaptic strength, induced a robust LTP, and this effect was blocked when DL-propranolol was co-administered. By contrast, the theta-pulse stimulation with the parameter of 5 Hz, 150 pulses/train, 3 trains, a frequency strongly modifying synaptic strength, induced a significantly smaller LTP when DL-propranolol was administered into area CA1. Accordingly, DL-propranolol impaired the spatial learning in the water maze when infused into area CA1 20 min pretraining. Compared with control rats, the DL-propranolol-treated rats showed significantly slower learning in the water maze and subsequently exhibited poor memory retention at 24-h test. These results suggest that beta-adrenoceptors in area CA1 are involved in regulating in vivo synaptic plasticity of this area and are important for spatial learning.
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