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Reducing Multi-model Biases for Robust Visual Question Answering
ZHANG Fengshuo, LI Yu, LI Xiangqian, XU Jin’an, CHEN Yufeng
Acta Scientiarum Naturalium Universitatis Pekinensis    2024, 60 (1): 23-33.   DOI: 10.13209/j.0479-8023.2023.072
Abstract87)   HTML    PDF(pc) (5709KB)(51)       Save
In order to enhance the robustness of the visual question answering model, a bias reduction method is proposed. Based on this, the influence of language and visual information on bias effect is explored. Furthermore, two bias learning branches are constructed to capture the language bias, and the bias caused by both language and images. Then, more robust prediction results are obtained by using the bias reduction method. Finally, based on the difference in prediction probabilities between standard visual question answering and bias branches, samples are dynamically weighted, allowing the model to adjust learning levels for samples with different levels of bias. Experiments on VQA-CP v2.0 and other data sets demonstrate the effectiveness of the proposed method and alleviate the influence of bias on the model.
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Efficient Combined Simulation Research of Finite Element Analysis for Bolt Assembly Process
LI Xiang, SHEN Chao, LIU Zhao, LIU Caishan, LIU Yan, LIU Chao
Acta Scientiarum Naturalium Universitatis Pekinensis    2023, 59 (6): 923-933.   DOI: 10.13209/j.0479-8023.2023.087
Abstract176)   HTML    PDF(pc) (16629KB)(79)       Save
Current finite element (FE) simulating methods for pre-tightening process of thread fasteners have some shortcomings. In order to ensure the accuracy and efficiency simultaneously, the interference fit method and the direct torsion method are combined via ANSYS APDL to form a new pre-tightening means. Firstly, FE models of the thread pair structure before and after simulating the necking plastic forming process are obtained. Further assembly process simulation of the necking anti-loosening nuts is realized. Via different pre-tightening methods for simulating the assembly process, the thread pair load distribution, the contact stress state and the torsion-tension relationship can be obtained. Via comparing the numerical results of the zero closure amount nuts with some theoretical solutions, the reliabilities of the FE models and the simulation process are verified. Furthermore, the calculation time and numerical results of different pre-tightening methods are compared to prove the combined pre-tightening method is reliable and effective. 
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Calculation of Full Carbon Emission and Evaluation of Carbon Emission Performance
ZHANG Xuehua;LI Xiang;YE Wenhu;ZHANG Baoan
   2015, 51 (4): 639-646.   DOI: 10.13209/j.0479-8023.2015.073
Abstract1558)      PDF(pc) (495KB)(534)       Save
A full carbon emission calculation method is proposed, whose accounts include energy consumption carbon emission, potential carbon consumption of biomass resource consumption, and potential carbon consumption of waste emission. The solar emergy is used as a tool of the same normalized dimension for calculating the amount of full carbon emission. Based on the full carbon emission calculation, population carrying capacity of one unit carbon emission, economic output of one unit carbon emission, and per capita disposable income of one unit carbon emission are considered into one package to construct an index to evaluate the carbon efficiency and development coordination level of a region, and the index is named carbon emission performance integrated index. Taking Beijing and Chongqing as examples, an assessment is made from 2001 to 2011 with the result that the proportion of energy consumption carbon emission in the full carbon emission of the two cities is raised continuously, which indicates that even in the view of full carbon emission, energy consumption is still the main factor affecting carbon emission; however, the effects from modes of both life and production on carbon emission also cannot be neglected. Compared with the traditional carbon efficiency evaluation with only energy carbon emission and carbon production rate considered, the carbon integrated performance evaluation based on “full carbon emission calculation” can fairly and objectively reflect carbon performance of a region, thus it provides a scientific method to identify the responsibility of regional carbon emission reduction.
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Methodology and Case Study of Sea Level Prediction Based on Secular Tide Gauge Data
DUAN Xiaofeng,XU Xuegong,CHEN Manchun,LI Xiang
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract732)      PDF(pc) (548KB)(321)       Save
Based on the periodic, trending, and stochasticcharacteristics of secular tide gauge data, a predictive methodology using stochastic-dynamic model was present to the sea level change research. The periodic term was resolved by wavelet and spectrum analysis. Stepwise regression was applied to the trending term analysis. The residual sequence was fitted by autoregression moving average model. Least-squares iteration method was applied for parameter estimation ofthe superposition model, which was composed of significant period model, trending term model and the residual sequenceautoregression moving average model. The stochasticdynamic model is applied to 57 years’monthly mean sea level data from Tanggu tide gauge for case study. The results show that the predictive methodology based on stochastic-dynamic model is feasible and efficient in sea level change prediction. Considering the high accuracy of modeling and predicting, this methodology can be used as a reference for future studies in sea level change.
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Research on Speech Synthesis for Large-Scale Corpora
YU Yansuo,ZHU Fengyun,LI Xiangang,LIU Yi,WU Xihong
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract866)      PDF(pc) (419KB)(893)       Save
Aiming at roughly labeled corpora with several hundred hours of speech, a novel approach of constructing text-to-speech system is proposed. This approach realizes automatically cleaning and labeling of large-scale corpora by means of speech recognition, text alignment and syntactic parsing. Furthermore, in order to solve the problems of memory space expansion and time consumption for acoustic model training of large-scale corpora, a fast training method, which can ensure the accuracy of acoustic model, is realized through the optimization of conventional process of model training. Subjective evaluations show that the exploitation of large-scale corpora with rough transcription can achieve significant improvement at 0.5 MOS score in contrast with small-scale corpora with exact transcription.
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Solution and Potential Function for Boussinesq Problem of Transversely Isotropic Piezoelectric Media
LI Xiangyong,WANG Minzhong
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract683)            Save
Based on the symmetry properties of the material constants, the Boussinesq solution in analytic form was obtained by Fourier transforms for a transversely isotropic piezoelectric half-space submitted with a normal point force and a point charge. The associated potential function was also discussed. By Fourier transforms method, the boundary value problem of partial differential equations was transformed to algebraic equations. Then by the principle of superposition and solving two sets of algebraic equations, the interaction between the point force and the point charge was uncoupled. Compared with the tentative semi-inverse method, the method in this paper is direct and effective.
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