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    Poverty Alleviation Innovation Through Tourism Development:a Case Study of Wulong County
    YAO Mao-Hua, TAN Qi-Hua
    Journal of Jishou University(Natural Sciences Edition)    2016, 37 (1): 80-85.   DOI: 10.3969/j.cnki.jdxb.2016.01.018
    Abstract2141)      PDF(pc) (474KB)(1479)       Save
    Poverty alleviation through tourism development in Wulong County demonstrates the innovations in the conception of poverty alleviation,the industry,regional development,structure and working mechanism,which provides reference for the poverty alleviation in other destitute areas.
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    Empirical Research on the Tea Industry Development of Xiangxi Based on Multivariate Linear Regression Model
    ZHANG Yong, WANG Huan, LU Dong-Xiang, SHI Hui, JIANG Hui, QIAO Hao
    journal6    2016, 37 (1): 86-89.  
    Abstract1943)            Save
    Combining with the status quo and development trend of the Xiangxi tea industry,through the analysis on the naturual,social and economic environment of Xiangxi,and using the least squares method to establish multiple linear model to carry on the quantitative research,we establish a model which reflect the positive correlation of the tea production with the first industry in GDP,and thus point out five factors which influence the tea industry in Xiangxi.Accordingly,the effective circulation of resources in the tea industry chain can be realized to improve the tea industry level,to promote the economic development,and ultimately,to accomplish the aims of poverty alleviation in Wuling mountainous areas.
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    Structure Damage Identification Method by the Wavelet-Neural Network Analysis of Strain Mode
    GUAN De-Qing, LIAO Jun-Wen, WU Zhao
    journal6    2015, 36 (3): 45-51.   DOI: 10.3969/j.cnki.jdxb.2015.03.011
    Abstract1984)      PDF(pc) (465KB)(1446)       Save
    A frame structure is regarded as the object of research,wavelet analysis is applied to determine the location of damage of frame structure and the neural network method to identify the damage degree.The principle of strain mode parameter identification of damaged frame structure is given and thus a wavelet neural method for identifing damage structure is proposed.Through the establishment of damage identification method of vibration mode and strain mode,the framework crack positions under 9 different working conditions were identified,and the identifying effects in the two modes were compared. Then the vibration parameters and strain parameter were undergone continuous wavelet transform to obtain the two maximum mode parameters. Neural network was applied to identify the damage degree of structures through simulating the nonlinear relationship between the maximum of wavelet coefficients of the structure and the damage degree,and the damage identification effects in the two modes were compared.The numerical analysis indicates that the wavelet neural network can identify the damage location and degree of structure effectively,and the accuracy of damage identification method based on strain mode is better.
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    Fault Diagnosis of Hydraulic Excavator Based on Fuzzy Mathematics
    SHU Ling
    journal6    2015, 36 (3): 52-55.   DOI: 10.3969/j.cnki.jdxb.2015.03.012
    Abstract2165)      PDF(pc) (299KB)(1461)       Save
    For rapid diagnosis of the fault cause of hydraulic excavator,this article,based on the fuzzy mathematical model,presents a new fault diagnosis method.This method first gets vector of fault diagnosis by means of the combination of membership degree matrix through experience data and the expert optimal ordinal membership degree matrix,and then uses the maximum membership degree principle to get the final cause of the problem.The fault cause of hydraulic excavator SWE50 (hydraulic pump wear and lower pump oil pressure) is successfully diagnosed by this method.
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    Experiment Research on Chip Morphologies of 32Cr3NiMoVA Ultra-High-Strength Steel Over a Variety of Cutting Parameters
    WU Shun-Xing
    journal6    2015, 36 (3): 56-60.   DOI: 10.3969/j.cnki.jdxb.2015.03.013
    Abstract2706)      PDF(pc) (19147KB)(861)       Save
    An experimental investigation of chip morphologies in high-speed dry milling of 32Cr3NiMoVA steel was conducted over a variety of different cutting parameters.The free surface and the back surface of the chip were investigated through VHX-500F optical microscope.The experimental results showed that,with 0.2 mm/r feed per tooth,0.5mm cutting depth and 200 to 1 000 m/min cutting speed,a suitable cutting chip of helical chip was formed;and with the cutting speed increased,the diameter of the helical chip reduced at first but eventually stabilized at a relatively constant value.The degree of chip serration was more pronounced and evident with the increase in cutting speed,feed per tooth and cutting depth.The variation in chip serration should be attributed to the reinforcement of coupled thermo-mechanical behavior in the cutting process with the increase in machining parameters.
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