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Jianping Shen,Siwei Zhang,Wei Wang,Shuguang Li,Song Zhang,Yujun Wang 한국광학회 2021 Current Optics and Photonics Vol.5 No.3
A tapered As 2 S 3 photonic crystal fiber (PCF) with four layers of air holes in a hexagonal array around the core is designed in this paper. Numerical simulation shows that the dispersion D decreases and the nonlinearity coefficient γ increases from the thick to the thin end along the tapered PCF. We simulate the midinfrared pulse compression in the tapered As 2 S 3 PCF using the adaptive split-step Fourier method. Initial Gaussian pulses of 4.4 ps and a central wavelength of 2.5 μm propagating in the tapered PCF arelocated in the anomalous dispersion region. With an average power of assumed input pulses at 3 mW and a repetition frequency of 81.0 MHz, we theoretically obtain a pulse duration of 56 fs and a compression factor of 78 when the pulse propagates from the thick end to the thin end of the tapered PCF. When confinement loss in the tapered PCF is included in the simulation, the minimum pulse duration reaches 72 fs; correspondingly, the maximum compression factor reaches 61. The results show that in the anomalous-dispersion region, midinfrared pulses can be efficiently compressed in a dispersion-decreasing and nonlinearity-increasing tapered As 2 S 3 PCF. Due to confinement loss in the tapered fiber, the efficiency of pulse compression is suppressed.
Jianping PAN,Wenzhun HUANG,Shanwen ZHANG 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.10
In this paper, we conduct research on issues related to the primary features of the Internet of things system and the corresponding data communication characteristics based on sparse coding and joint deep neural network. Internet of things is more than the underlying device difference communication method and it is the Internet of things needs to study in the field of hot issue. Using traditional algorithm for Internet communication equipment need particle filter was carried out on the acquisition of communication signal processing. Communication technology enables the Internet of things will perceive the information between different terminals for efficient transmission and exchange, exchange and sharing and the information resources is the key to the functions of things. To enhance the robustness and efficiency of the current IOT systems, we adopt the sparse coded dictionary learning theory to detect the size of the data and optimize the compressive sensing technique to modify the resolution. With the advances of the deep neural network, we analyze the topology of the system network structure and extract the pattern features and characteristics to make the signal transmission process more quickly and feasible. To enhance the objective function, we obtain the restricted optimization algorithm to help terminate the iteration for the higher efficiency. In the final part, we simulation our algorithm for times compared with other well-performed approaches. The result indicates that our method outperforms both in the accuracy layer an in the time-consuming layer which will hold specific meaning.
Uniqueness of Linear Differential Polynomials that Share the Value 1 CM
Jianping Wang 경북대학교 자연과학대학 수학과 2002 Kyungpook mathematical journal Vol.42 No.2
In this paper we investigate the uniqueness of linear differential polynomials generated by meromorphic functions when they share the value 1 CM, and prove several results which improve some previous theorems given by H. X. Yi, Il Lahiri etc.
Who is Jobless? A Comparison of Joblessness in Rural and Urban Areas in China
Jianping Yao 한국사회복지학회 2017 Asian Social Work and Policy Review Vol.11 No.1
Since market-oriented economic reform was launched in China in the 1980s, unemployment has been recognized by the government. This paper focuses on the differences in joblessness in rural and urban areas between rural migrant workers, peasants, and urban citizens. The results indicate that people in rural areas frequently lose their jobs, which differs from the traditional perception. There is a significantly lower jobless rate in urban areas. In contrast to the results of previous studies, the employment situation of rural migrant workers is closer to urban citizens rather than peasants. Logistic regression results show that the elderly, women, and less educated citizens have a higher likelihood of joblessness, both in urban and rural areas. Minorities have a lower likelihood of joblessness in rural areas and a higher likelihood in urban areas. Chinese Communist Party members and people without dependent children have a lower likelihood of joblessness in urban areas.
Jianping Yao,Byung-Cheol Kim 한국사회복지학회 2015 Asian Social Work and Policy Review Vol.9 No.1
The aim of this article is to investigate the gender differences of rural migrant workers participating in social insurance involving three social protection models in four Chinese cities. The results show that, of the three models, the inclusive model has the highest participation rate and the independent model has the lowest. In general there are few gender differences in social insurance coverage. For both male and female participants, the factors which influence the participation of rural migrant workers in social insurance systems are age, income, education, enterprise ownership, labor contract, occupational mobility, and location. However, the relative importance of these factors in participation in social insurance is differentiated by gender
Dynamic analysis of offshore wind turbines
Jianping Zhang,Mingqiang Wang,Zhen Gong,Fengfeng Shi 한국풍공학회 2020 Wind and Structures, An International Journal (WAS Vol.31 No.4
For large-scale 5MW offshore wind turbines, the discrete equation of fluid domain and the motion equation of structural domain with geometric nonlinearity were built, the three-dimensional modeling of the blade considering fluid-structure interaction (FSI) was achieved by using Unigraphics (UG) and Geometry modules, and the numerical simulation and the analysis of the vibration characteristics for wind turbine structure under rotating effect were carried out based on ANSYS software. The results indicate that the rotating effect has an apparent effect on displacement and Von Mises stress, and the response and the distribution of displacement and Von Mises stress for the blade in direction of wingspan increase nonlinearly with the equal increase of rotational speeds. Compared with the single blade model, the blade vibration period of the whole machine model is much longer. The structural coupling effect reduces the response peak value of the blade displacement and Von Mises stress, and the increase of rotational speed enhances this coupling effect. The maximum displacement difference between two models decreases first and then increases along wingspan direction, the trend is more visible with the equal increase of rotational speed, and the boundary point with zero displacement difference moves towards the blade root. Furthermore, the Von Mises stress difference increases gradually with the increase of rotational speed and decreases nonlinearly from the blade middle to both sides. The results can provide technical reference for the safe operation and optimal design of offshore wind turbines.