64 research outputs found
Class Origin, Family Culture, and Intergenerational Correlation of Education in Rural China
No full textThis paper examines the intergenerational correlation of education in rural China. The focus is on the influence of family class origin (jiating chengfen), the political label hung on every family throughout the Maoist era. A nationally representative cross-sectional household survey for 2002 is used. It is shown that the effects of family class origin on family members' educational attainment varies across historical periods. Regarding the educational level of male heads of household with landlord/rich peasant background, we found a drop caused by the class-based discrimination in the Maoist era and a rebound in the postreform era. It was also found that family class origin remains significant for the educational achievement of the current younger generation. Children aged 16-18 who are of landlord/rich peasant and middle peasant origins are more likely to achieve higher educational attainment. We conclude that a class-specific, education-oriented family culture has been shaped first as a mixture of family cultural capital inherited from the pre-Maoist era and surfacing again in the postreform era, and, second, as intergenerational cultural reaction against class-based discrimination during the Maoist era.education, intergenerational correlation, class origin, family culture, social discrimination
Research on Closed-Loop Simulation Flight of Missile Control System under Compound Excitation
No full textARL Study of Second Order Autocorrelation Residual Control Chart and its Application in MAP
No full textDetecting Shoreline Changes in Typical Coastal Wetlands of Bohai Rim in North China
No full textCoastal wetland shoreline change represents one of the most important land-ocean interaction processes in complex and dynamic coastal environment. This paper presents the detecting of shoreline changes in four typical coastal wetlands of ecological importance along Bohai rim based on multi-temporal shorelines extracted from obtained Normalized Difference Water Index (NDWI) images using automatic binarization algorithm. Results showed that although there were statistical uncertainties dominant trends of the shoreline changes could be detected and sections that had significant area changes could be identified from satellite images. The reasons for corresponding changes occurred in these wetlands were stated in terms of natural processes and anthropogenic activities. It is our anticipation that this work would help future studies to reveal the regional/national pattern of wetland changes and support wetland protection and management in China's coast zone.Coastal wetland shoreline change represents one of the most important land-ocean interaction processes in complex and dynamic coastal environment. This paper presents the detecting of shoreline changes in four typical coastal wetlands of ecological importance along Bohai rim based on multi-temporal shorelines extracted from obtained Normalized Difference Water Index (NDWI) images using automatic binarization algorithm. Results showed that although there were statistical uncertainties dominant trends of the shoreline changes could be detected and sections that had significant area changes could be identified from satellite images. The reasons for corresponding changes occurred in these wetlands were stated in terms of natural processes and anthropogenic activities. It is our anticipation that this work would help future studies to reveal the regional/national pattern of wetland changes and support wetland protection and management in China's coast zone
Study on vibration characteristics and fault diagnosis method of oil-immersed flat wave reactor in Arctic area converter station
No full text
Multiple-Input Multiple-Output Synthetic Aperture Radar Waveform and Filter Design in the Presence of Uncertain Interference Environment
No full textMultiple-input multiple-output synthetic aperture radar (MIMO-SAR) anti-jamming waveform design relies on accurate prior information about the interference. However, it is difficult to obtain accurate prior knowledge about uncertain intermittent sampling repeater jamming (ISRJ), leading to a severe decline in the detection performance of MIMO-SAR systems. Therefore, this article studies the robust joint design problem of MIMO radar transmit waveform and filter against uncertain ISRJ. We characterize two categories of uncertain interference, including sample length uncertainty and sample-time uncertainty, modeled as Gaussian distribution in different range bins. Based on the uncertain interference model, we formulate the maximizing SINR as a figure of merit, which is a non-convex quadratic optimization problem under specific waveform constraints. Based on the alternating direction method of multipliers (ADMM) framework, a novel joint design algorithm of waveform and filter is proposed. In order to improve the convergence performance of ADMM, the difference in convex functions (DC) programming is applied to the ADMM iterations framework to solve the problem of waveform energy inequality constraint. Finally, numerical results demonstrate the effectiveness and robustness of the proposed method, compared to the existing methods that utilize deterministic interference models in the uncertain ISRJ environment. Moreover, the spaceborne SAR real scene imaging simulations are conducted to evaluate the anti-ISRJ performance
High Vacuum and High Robustness Al-Ge Bonding for Wafer Level Chip Scale Packaging of MEMS Sensors
No full textDualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem
No full textThis paper proposes a dual divide-and-optimize algorithm (DualOpt) for solving the large-scale traveling salesman problem (TSP). DualOpt combines two complementary strategies to improve both solution quality and computational efficiency. The first strategy is a grid-based divide-and-conquer procedure that partitions the TSP into smaller sub-problems, solving them in parallel and iteratively refining the solution by merging nodes and partial routes. The process continues until only one grid remains, yielding a high-quality initial solution. The second strategy involves a path-based divide-and-optimize procedure that further optimizes the solution by dividing it into sub-paths, optimizing each using a neural solver, and merging them back to progressively improve the overall solution. Extensive experiments conducted on two groups of TSP benchmark instances, including randomly generated instances with up to 100,000 nodes and real-world datasets from TSPLIB, demonstrate the effectiveness of DualOpt. The proposed DualOpt achieves highly competitive results compared to 10 state-of-the-art algorithms in the literature. In particular, DualOpt achieves an improvement gap up to 1.40% for the largest instance TSP100K with a remarkable 104x speed-up over the leading heuristic solver LKH3. Additionally, DualOpt demonstrates strong generalization on TSPLIB benchmarks, confirming its capability to tackle diverse real-world TSP applications
CUHK electronic theses & dissertations collection
No full textSun, Yuandong.Thesis Ph.D. Chinese University of Hong Kong 2014.Includes bibliographical references (leaves 159-170).Abstracts also in Chinese.Title from PDF title page (viewed on 07, December, 2016)
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