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Search Results: 1 - 10 of 60494 matches for " YANG Teng "
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Noise Source Identification Applied in Electric Power Industry Using Microphone Arrays  [PDF]
Pengxiao Teng, Rilin Chen, Yichun Yang
Engineering (ENG) , 2013, DOI: 10.4236/eng.2013.51B028
Abstract: The noise source identification is an important issue in noise reduction and condition monitoring(CM) for machines in- site using microphone arrays. In this paper, we propose a new approach to optimize array configuration based on particles swarm optimization algorithm in order to improve noise source identification and condition monitoring performance. Two distinct optimized array configurations are designed under the certain conditions. Furthermore, an acoustic imaging equipment is developed to carry out experiments on transformer substation equipment and wind turbine generator, which demonstrate that the acoustic imaging system allows a high resolution in identifying main noise sources for noise reduction and abnormal noise sources for condition monitoring.
Wet Season Upwelling and Dry Season Chlorophyll-a Describe Interannual Growth Rates of Porites in Southern China
Teng Teng Yang, Nathalie Fairbank Goodkin
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0099088
Abstract: Southern China hosts coral communities in marginal environments that are characterized by low linear extension rates, low coral cover and/or no reef formation, thus providing natural laboratories to study coral communities with below average growth rates. Here we compare the annual linear extension rates over 10 years (range 1.2 to 11.4 mm yr?1) of six Porites sp. coral cores collected from Hong Kong with monthly hydrographic data from the Hong Kong Environmental Protection Department. At all sites, low-density, dry season extension were more variable than high-density, wet season extension and on average, was lower at two of the three sites. We applied multi-variate linear regressions that revealed high-density, wet season band extension to inversely correlate most significantly to temperature (r = ?0.39, p<0.01). In contrast, low-density, dry season band extension was more variable and correlated most significantly with dry season chlorophyll-a (Chl-a) (r = 0.64, p<0.001). Additionally, we find that corals at the site with highest dry season Chl-a have the highest dry season extension lengths. Our findings indicate that relative mixing of fresh and salt water in the wet season and primary productivity in the dry season, and their influences on aragonite saturation, are likely to impact interannual coral extension variability in marginal environments.
Boosted Vehicle Detection Using Local and Global Features  [PDF]
Chin-Teng Lin, Sheng-Chih Hsu, Ja-Fan Lee, Chien-Ting Yang
Journal of Signal and Information Processing (JSIP) , 2013, DOI: 10.4236/jsip.2013.43032
Abstract:

This study presents a boosted vehicle detection system. It first hypothesizes potential locations of vehicles to reduce the computational costs by a statistic of the edge intensity and symmetry, then verifies the accuracy of the hypotheses using AdaBoost and Probabilistic Decision-Based Neural Network (PDBNN) classifiers, which exploit local and global features of vehicles, respectively. The combination of 2 classifiers can be used to learn the complementary relationship between local and global features, and it gains an extremely low false positive rate while maintaining a high detection rate. For the MIT Center for Biological & Computational Learning (CBCL) database, a 96.3% detection rate leads to a false alarm rate of approximately 0.0013%. The objective of this study is to extract the characteristic of vehicles in both local- and global-orientation, and model the implicit invariance of vehicles. This boosted approach provides a more effective solution to handle the problems encountered by conventional background-based detection systems. The experimental results of this study prove that the proposed system achieves good performance in detecting vehicles without background information. The implemented system also extract useful traffic information that can be used for further processing, such as tracking, counting, classification, and recognition.

The Reliability Evaluation Method Study of Power System Communication Networks in Case of Ice Storm  [PDF]
Jianghua Yang, Huan Teng, Chonggu Yao, Nian Liu, Bin Sun, Hanyun Yuan, Ming Liu, Jialin Bai
Engineering (ENG) , 2013, DOI: 10.4236/eng.2013.59B006
Abstract: This paper is divided into two cases to study the communication transmission equipment reliability in the state of the ice storm, according to the huge losses of power system communication caused by the ice storm. For the nodes or links which are not affected by the ice storm, we use the calculation with “the mean time between failures (MTBF)” and “the mean time to repair” (MTTR) to put forward the calculation methods; for the OPGW cable which influenced greater in ice storm, we use the fiber excess length and the elongation of fiber optic cable. It obtains all the paths of the network through improved adjacency matrix method, and then it uses binary decision diagram to obtain the overall reliability of the network. By testing the network nodes and links using “N-1” inspection, the key nodes and key links can be obtained. Finally, considering the importance degree of network transmission business, the reliability evaluation method of power system communication network based on the risk theory in the case of the ice storm has been put forward, and the example to verify that the method can provide the basis for the reliability assessment of the power system communication in the case of the ice storm has been given.
Atypical Mismatch Negativity in Response to Emotional Voices in People with Autism Spectrum Conditions
Yang-Teng Fan, Yawei Cheng
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0102471
Abstract: Autism Spectrum Conditions (ASC) are characterized by heterogeneous impairments of social reciprocity and sensory processing. Voices, similar to faces, convey socially relevant information. Whether voice processing is selectively impaired remains undetermined. This study involved recording mismatch negativity (MMN) while presenting emotionally spoken syllables dada and acoustically matched nonvocal sounds to 20 subjects with ASC and 20 healthy matched controls. The people with ASC exhibited no MMN response to emotional syllables and reduced MMN to nonvocal sounds, indicating general impairments of affective voice and acoustic discrimination. Weaker angry MMN amplitudes were associated with more autistic traits. Receiver operator characteristic analysis revealed that angry MMN amplitudes yielded a value of 0.88 (p<.001). The results suggest that people with ASC may process emotional voices in an atypical fashion already at the automatic stage. This processing abnormality can facilitate diagnosing ASC and enable social deficits in people with ASC to be predicted.
On the Anisotropy of Nuclei Mid-Infrared Radiation in Nearby Active Galactic Nuclei
Huan Yang,JunXian Wang,Teng Liu
Physics , 2014, DOI: 10.1088/0004-637X/799/1/91
Abstract: In the center of active galactic nuclei (AGN), the dusty torus absorb the radiation from the central engine and re-emit in mid-infrared (MIR). Observations have detected moderate anisotropy in the dust MIR emission, in the way that type 1 AGNs (type1s) are mildly brighter in MIR comparing with type 2 sources (type2s). However, type1s and type2s were found to follow statistically the same tight MIR -- hard X-ray correlation, suggesting the MIR emission is highly isotropic assuming the hard X-ray radiation is inclination independent. We argue this discrepancy could be solved considering the hard X-ray emission in AGN is also mildly anisotropic as we recently discovered. To verify this diagram, we compare the sub-arcsecond 12\mu m flux densities of type1s and type2s using [OIV]$\lambda$25.89\mu m emission line as an isotropic luminosity indicator. We find that on average type1s are brighter in nuclei 12\mu m radiation by a factor of $2.6 \pm 0.6$ than type2s at given [OIV]$\lambda$25.89\mu m luminosities, confirming the mild anisotropy of the nuclei 12\mu m emission. We show that the anisotropy of the 12\mu m emission we detected is in good agreement with radiative transfer models of clumpy torus. The fact that type 1 and type 2 AGNs follow the same tight MIR -- hard X-ray correlation instead supports that both the MIR and hard X-ray emission in AGNs are mildly anisotropic.
A Deep Graph Embedding Network Model for Face Recognition
Yufei Gan,Teng Yang,Chu He
Computer Science , 2014,
Abstract: In this paper, we propose a new deep learning network "GENet", it combines the multi-layer network architec- ture and graph embedding framework. Firstly, we use simplest unsupervised learning PCA/LDA as first layer to generate the low- level feature. Secondly, many cascaded dimensionality reduction layers based on graph embedding framework are applied to GENet. Finally, a linear SVM classifier is used to classify dimension-reduced features. The experiments indicate that higher classification accuracy can be obtained by this algorithm on the CMU-PIE, ORL, Extended Yale B dataset.
Flexible Expectile Regression in Reproducing Kernel Hilbert Space
Yi Yang,Teng Zhang,Hui Zou
Statistics , 2015,
Abstract: Expectile, first introduced by Newey and Powell (1987) in the econometrics literature, has recently become increasingly popular in risk management and capital allocation for financial institutions due to its desirable properties such as coherence and elicitability. The current standard tool for expectile regression analysis is the multiple linear expectile regression proposed by Newey and Powell in 1987. The growing applications of expectile regression motivate us to develop a much more flexible nonparametric multiple expectile regression in a reproducing kernel Hilbert space. The resulting estimator is called KERE which has multiple advantages over the classical multiple linear expectile regression by incorporating non-linearity, non-additivity and complex interactions in the final estimator. The kernel learning theory of KERE is established. We develop an efficient algorithm inspired by majorization-minimization principle for solving the entire solution path of KERE. It is shown that the algorithm converges at least at a linear rate. Extensive simulations are conducted to show the very competitive finite sample performance of KERE. We further demonstrate the application of KERE by using personal computer price data.
MAP2c confers drug stability to microtubulesin vivo
Xiaoyong Yang,Junlin Teng,Yang Jin,Jianguo Chen
Chinese Science Bulletin , 1999, DOI: 10.1007/BF03182701
Abstract: Microtubules in the axons of nerve cells have unusual stability. To investigate the role of MAP2c in the stabilization of microtubules in neurites, a baculovirus vector has been used to express high levels of MAP2c in insect ovarian Sf9 cells. The cells respond by extending neurite-like processes that contain dense bundles of microtubules. The infected cells have been treated with cold, colchicine and nocodazole, respectively. Results showed that all of the polymers were depolymerized within the first 30 min in cold, while no MT depolymerization was detected after 12 h in colchicine or 6 h in nocodazole. The findings strongly suggest that MAP2c is a factor in conferring drug stability to microtubules in neurons, but factors other than MAP2c or in addition to MAP2c are required for cold stability.
Ladder Arrangement Method for Stealth Design of Vivaldi Antenna Array
XiaoXiang He,SaiSai Huang,Teng Chen,Yang Yang
International Journal of Antennas and Propagation , 2013, DOI: 10.1155/2013/295767
Abstract: A novel stealth design method for X-band Vivaldi antenna arrays is proposed in this paper by ladder arrangement along radiation direction. Two-element array, eight-element array, and 3 × 7-element array are investigated in this paper. S parameters, RCSs, and radiation patterns are studied, respectively. According to the ladder arrangement of Vivaldi antennas presented, 16.3?dBsm maximal RCS reduction is achieved with satisfied radiation performance. As simulated and measured, results demonstrate that the effectiveness of the presented low RCS design method is validated. 1. Introduction Generally speaking, RCS reduction of antenna will affect the radiation performance and increase the antenna system complexity. Li and Liu [1] reduced RCS maximally by 27?dBsm at a specific frequency with two short-circuit pins loaded in each microstrip unit and cut two H-shape slots.However, this method reduces the RCS only at a relatively narrow frequency band and angle range. ??Another powerful method, investigated by Jang et al. [2], is to use the EBG structure, and about 10?dBsm RCS reduction is obtained outside of the operating band, which also can be acquired with frequency selective surface (FSS) on radome. In the operating band, the RCS with EBG structure is almost unchanged. Liu et al. [3] use fractal slot on microstrip patch antenna and the RCS can be reduced and the radiation characteristics can be maintained. There are still some other methods such as holly-leaf-shaped [4] design or using a phase-switched screen (PSS) [5] boundary, which can reduce RCS in operating band. Vivaldi antennas are widely used in fire control system, radar, communication, and electronic countermeasures (ECM) [6] fields due to their high gain, less physical dimension, and broad bandwidth. Therefore, the stealth design of Vivaldi antennas [6–11] is widely investigated. Based on the difference of antenna current distribution in the radiating and scattering status, He et al. [12] proposed a novel stealthy X-band Vivaldi antenna with maximally 19.2?dBsm RCS reduction. 2. Stealth Design Scheme The stealth design method proposed in this paper is to decrease RCS of an antenna array while maintaining the antenna’s radiating performance. For the array element is an end-fire Vivaldi antenna, we give two schematic diagrams in which ladder arrangement is employed with a quarter wavelength step in radiation direction (see Figure 1). Figure 1: The path of scattering and radiating wave with ladder arranged array. As we can see from Figure 1(a), when the antenna radiates, the electromagnetic waves
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