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Search Results: 1 - 10 of 78520 matches for " Jinhua Chen "
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Review on the Sensor Technology Applied in the Intelligent Learning Environment  [PDF]
Jinhua Chen, Ying Li, Jing Song
Communications and Network (CN) , 2013, DOI: 10.4236/cn.2013.51B016
Abstract: The development of sensor technology promotes the transformation of the intelligent learning environment. Through the research of the sensor technology application, this paper described the intelligent learning environment application system of the sensor technology and the management functions, conference organization, a library building, information collection, monitoring and equipment sharing function the role of sensor technology played in the intelligent learning environment.
Emerging Patterns and Classification Algorithms for DNA Sequence
Xiaoyun Chen,Jinhua Chen
Journal of Software , 2011, DOI: 10.4304/jsw.6.6.985-992
Abstract: Existing machine learning methods for classification of DNA sequence achieve good results, but these methods try to express a DNA sequences as discrete multi-dimensional vector, so when the length of the sequences in the DNA sequence database is not fixed or there exists some omitted characters, these methods can not be used directly. In this paper, we define the new support and growth rate of support to find the frequent emerging patterns from DNA sequence database, and present a classification algorithm FESP based on the frequent emerging sequence patterns. The frequent emerging sequence patterns keep the information provided by the order of bases in gene sequences and can catch interaction among bases. FESP algorithm applies classification rules that are constructed by frequent emerging sequence patterns of each class to classify the new DNA sequences. This method can work on sequences with different lengths or omitted character and shows good performance.
failure mechanisms and calculation of bearing capacity of a strip footing on soil considering joined influnces of cohesion,surcharge and gravity
wang yujie,in jinhua chen zuyu
岩石力学与工程学报 , 2001,
Abstract:
The Measurement and Calculation of Zero Dispersion Wavelength in Infra-red Fiber
红外光纤零色散波长的测量和计算

CHEN Jinhua,
陈金花

红外 , 2003,
Abstract: The zero dispersion wavelength of optical fibers is accurately measured with an IR grating monochromator under the control of a computer with periheral circuits.
About the Riemann Hypothesis  [PDF]
Jinhua Fei
Journal of Applied Mathematics and Physics (JAMP) , 2016, DOI: 10.4236/jamp.2016.43061
Abstract: The Riemann hypothesis is part of Hilbert’s eighth problem in David Hilbert’s list of 23 unsolved problems. It is also one of the Clay Mathematics Institute’s Millennium Prize Problems. Some mathematicians consider it the most important unresolved problem in pure mathematics. Many mathematicians made a lot of efforts; they don’t have to prove the Riemann hypothesis. In this paper, I use the analytic methods to deny the Riemann Hypothesis; if there’s something wrong, please criticize and correct me.
Spline-Interpolation-Based FFT Approach to Fast Simulation of Multivariate Stochastic Processes
Jinhua Li,Chunxiang Li,Shuisheng Chen
Mathematical Problems in Engineering , 2011, DOI: 10.1155/2011/842183
Abstract: The spline-interpolation-based fast Fourier transform (FFT) algorithm, designated as the SFFT algorithm, is proposed in the present paper to further enhance the computational speed of simulating the multivariate stochastic processes. The proposed SFFT algorithm first introduces the spline interpolation technique to reduce the number of the Cholesky decomposition of a spectral density matrix and subsequently uses the FFT algorithm to further enhance the computational speed. In order to highlight the superiority of the SFFT algorithm, the simulations of the multivariate stationary longitudinal wind velocity fluctuations have been carried out, respectively, with resorting to the SFFT-based and FFT-based spectral representation SR methods, taking into consideration that the elements of cross-power spectral density matrix are the complex values. The numerical simulation results show that though introducing the spline interpolation approximation in decomposing the cross-power spectral density matrix, the SFFT algorithm can achieve the results without a loss of precision with reference to the FFT algorithm. In comparison with the FFT algorithm, the SFFT algorithm provides much higher computational efficiency. Likewise, the superiority of the SFFT algorithm is becoming more remarkable with the dividing number of frequency, the number of samples, and the time length of samples going up. 1. Introduction Monte Carlo technique has widely been employed for simulating the stochastic processes which are either one-dimensional or multidimensional, univariate or multivariate, homogeneous or nonhomogeneous, stationary or nonstationary, and Gaussian or non-Gaussian. The Monte Carlo simulation methods are able to generate the sample functions that accurately provide the probabilistic characteristics of the corresponding stochastic processes. For the simulation of stochastic processes, the following approaches are now available: (1) autoregressive (AR) method, such as Mignolet and Spanos [1, 2], Iannuzzi and Spinelli [3], Deodatis and Shinozuka [4], and Novak et al. [5]; (2) autoregressive moving average (ARMA) method, for example, Gersch and Yonemoto [6], Kozin [7], Kareem and Li [8], and Rossi et al. [9]; (3) spectral representation (SR) method, for instance, Shinozuka and Jan [10], Grigoriu [11], Deodatis [12], Grigoriu [13], and Chen and Letchford [14]. It is known that among foregoing simulation methods, the SR method has very high demands on both the computer memory and speed. Notwithstanding this, the SR does not have the problem of model selection, as does the AR
Occurrence of polybrominated diphenyl ethers in fish and shellfish downstream from electronic-waste recycling plants

Jinhua Jiang,Shidi Shi,Tao Chen,

环境科学学报(英文版) , 2010,
Abstract: We measured 39 polybrominated diphenyl ethers (PBDEs) in the muscle tissue of three species of fish (Sciaenops ocellatus, Sparus macrocephalus, and Lateolabrax japonicus) and four species of shellfish (Tegillarca granosa, Cyclina sinensis, Sinonovacula constricta, and Ostrea cucullata) that were collected downstream of electronic-waste recycling plants in Taizhou, China. A total of 24 PBDE congeners (PBDE24) in the samples were detected. The PPBDE24 (total PBDE) ranged from 545.4 to 1688.7 ng/kg ww (wet weight). The mean PPBDE24 concentration was 1382.6 ng/kg ww in fish and 858.1 ng/kg ww in shellfish. The lower brominated congeners were detected at relatively high concentrations in all species. The penta-products, produced from e-waste, were found at relatively low levels. A principal component analysis suggested a significant correlation among di-, tri-, tetra-, and hepta-BDEs for the three species of fish. Similarly, we found a significant correlation between mono- and tri-BDEs in the shellfish. Our results suggested that the processes of PBDE metabolism and elimination were similar in both fish and shellfish. In addition, the primary source of PBDEs appeared to be from the debromination of high brominated PBDEs.
Photocatalytic Degradation of Isopropanol Over PbSnO3Nanostructures Under Visible Light Irradiation
Chen Di,Ouyang Shuxin,Ye Jinhua
Nanoscale Research Letters , 2009,
Abstract: Nanostructured PbSnO3photocatalysts with particulate and tubular morphologies have been synthesized from a simple hydrothermal process. As-prepared samples were characterized by X-ray diffraction, Brunauer–Emmet–Teller surface area, transmission electron microscopy, and diffraction spectroscopy. The photoactivities of the PbSnO3nanostructures for isopropanol (IPA) degradation under visible light irradiation were investigated systematically, and the results revealed that these nanostructures show much higher photocatalytic properties than bulk PbSnO3material. The possible growth mechanism of tubular PbSnO3catalyst was also investigated briefly.
Effect of Different Irradiation Times on the Occlusion of Dentinal Tubules When Using a Nd:YAG Laser: An in Vitro SEM Study  [PDF]
Xiaoyu Guo, Jinhua Yu, Roger J. Smales, Huifen Chen, Haiyan Si, Younong Wu
Open Journal of Stomatology (OJST) , 2015, DOI: 10.4236/ojst.2015.53011
Abstract: Objective: To evaluate the effect of different irradiation times on the occlusion of dentinal tubules when using Nd:YAG laser. Background data: Dentin hypersensitivity is a frequent problem that has limited treatment success despite many chemical and physical therapies. Methods: Four coronal dentin disks 2 mm thick were cut with a low-speed diamond saw from four freshly extracted intact first molars. The coronal dentin surface of each disk was divided into four regions, each approximately 2 mm × 3 mm. The dentin surfaces were treated with 27% EDTA then the four regions irradiated separately in a randomized pattern with a Nd:YAG laser (120 mJ, 5 Hz), using irradiation times of 0 s, 20 s, 40 s and 60 s, representing laser energies of 0 J/cm2, 200 J/cm2, 400 J/cm2 and 600 J/cm2, respectively. SEM photomicro-graphs were taken at 1500× and 3000× to calculate the dentinal tubule orifice occlusion rates and to measure the tubule diameters, respectively. Results: For the laser irradiation times of 0 s, 20 s, 40 s and 60 s, the corresponding dentinal tubule occlusion rates were 2.05 (SD 0.29)%, 10.01 (1.71)%, 23.58 (2.51)% and 90.23 (2.24)%, respectively; and the tubule diameters were 4.18 (0.32) μm, 3.46 (0.24) μm, 1.69 (0.32) μm and 0.12 (0.02) μm, respectively. There were significant differences among all groups for both measured variables (p ≤ 0.005). Conclusions: Within the limitations of this in Vitro study, when using a Nd:YAG laser at 120 mJ and 5 Hz, an irradiation time of 60 s achieved the best sealing of the coronal dentinal tubule orifices.
Simulation study on the effect of pre-evacuation time and exit width on evacuation
Guanquan Chu,Jinhua Sun,Qingsong Wang,Sining Chen
Chinese Science Bulletin , 2006, DOI: 10.1007/s11434-006-1381-0
Abstract: Occupant pre-evacuation time is often oversimplified into an explicit value in evacuation calculation. In fact, it is not an explicit value but a random variable following some kind of probability distribution. In order to analyze the importance of pre-evacuation time in evacuation calculation, Grid-Flow evacuation model is utilized to study the effect of pre-evacuation time on evacuation under different occupant densities and exit widths in a single room scenario. The evacuation time calculated by using normal pre-evacuation distribution is compared with that calculated by explicit pre-evacuation time. Two faults are presented when pre-evacuation time is considered as an explicit value. The theory of congestion and queue is presented to analyze the calculation results. Moreover, this paper also presents probability distribution of the total evacuation time when the pre-evacuation time follows normal distribution. The results show that the evacuation time is dominated by pre-evacuation time and hardly dependent on occupant density when the mean pre-evacuation time is long. For long mean pre-evacuation time, low occupant density or wide exit, when pre-evacuation time follows normal distribution, the total evacuation time also follows normal distribution.
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