Based on the idea of fusing modeling, an integrated prediction model for sintering process was proposed. A framework for sulfur content prediction was established, which integrated multi modeling ways together, includ...Based on the idea of fusing modeling, an integrated prediction model for sintering process was proposed. A framework for sulfur content prediction was established, which integrated multi modeling ways together, including mathematical model combined with neural network(NN), rule model based on empirical knowledge and model-choosing coordinator. Via metallurgic mechanism analysis and material balance computation, a mathematical model calculated the sulfur content in agglomerate by the material balance equation with some parameters predicted by NN method. In the other model, the relationship between sulfur content and key factors was described in the form of expert rules. The model-choosing coordinator based on fuzzy logic was introduced to decide the weight of result of each model according to process conditions. The model was tested by industrial application data and produced a relatively satisfactory prediction error. The model also preferably reflected the varying tendency of sulfur content in agglomerate as the evidence of its prediction performance.展开更多
By the means of static leaching experiment and dynamic leaching experiment,CODCr leaching rules of dumped MSW(Municipal Solid Waste) in Songtao Reservoir,Hainan Province,China,were studied. And according to academic e...By the means of static leaching experiment and dynamic leaching experiment,CODCr leaching rules of dumped MSW(Municipal Solid Waste) in Songtao Reservoir,Hainan Province,China,were studied. And according to academic experience and fitted results of experiment data,the models of CODCr leaching rules in the leaching condition were deduced. The static leaching experiment indicates that,both in water-changing section and no-water-changing section,the ratio of liquid to solid has a remarkable influence on CODCr leaching concentration. The exponential model could be established to approximately describe CODCr leaching rules and the curve fits well. The dynamic leaching experiment indicates that,leaching rules of MSW can be approximately described by power model,which can well fit the leaching experiment data. By the contrast of the static leaching experiment and dynamic leaching experiment,the differences of CODCr leaching rules between the two experiments are significant. By the exponential model,the average static leaching rate of CODCr is calculated as 882.24 mg/(kg·d) for water-changing section and 320.39 mg/(kg·d) for no-water-changing section; by the power model,the average dynamic leaching rate of CODCr is 208.77 mg/(kg·d).展开更多
Rehabilitation engineering aims in the upmost degree to restore the lost functions for those persons with physical disability. Biomechanical modeling has been widely used for different purposes in rehabilitation engin...Rehabilitation engineering aims in the upmost degree to restore the lost functions for those persons with physical disability. Biomechanical modeling has been widely used for different purposes in rehabilitation engineering to understand the bio-展开更多
A fast generation method of fuzzy rules for flux optimization decision-making was proposed in order to extract the linguistic knowledge from numerical data in the process of matter converting. The fuzzy if-then rules ...A fast generation method of fuzzy rules for flux optimization decision-making was proposed in order to extract the linguistic knowledge from numerical data in the process of matter converting. The fuzzy if-then rules with consequent real number were extracted from numerical data, and a linguistic representation method for deriving linguistic rules from fuzzy if-then rules with consequent real numbers was developed. The linguistic representation consisted of The simulat two linguistic variables with the degree of certainty and the storage structure of rule base was described. on results show that the method involves neither the time-consuming iterative learning procedure nor the complicated rule generation mechanisms, and can approximate complex system. The method was applied to determine the flux amount of copper converting furnace in the process of matter converting. The real result shows that the mass fraction of Cu in slag is reduced by 0.5 %.展开更多
The problems of stability and stabilization for the discrete Takagi-Sugeno（T-S） fuzzy time-delay system are investigated.By constructing a discrete piecewise Lyapunov-Krasovskii function（PLKF） in each maximal over...The problems of stability and stabilization for the discrete Takagi-Sugeno（T-S） fuzzy time-delay system are investigated.By constructing a discrete piecewise Lyapunov-Krasovskii function（PLKF） in each maximal overlapped-rules group（MORG）,a new sufficient stability condition for the open-loop discrete T-S fuzzy time-delay system is proposed and proved.Then the systematic design of the fuzzy controller is investigated via the parallel distributed compensation control scheme,and a new stabilization condition for the closed-loop discrete T-S fuzzy time-delay system is proposed.The above two sufficient conditions only require finding common matrices in each MORG.Compared with the common Lyapunov-Krasovskii function（CLKF） approach and the fuzzy Lyapunov-Krasovskii function（FLKF） approach,these proposed sufficient conditions can not only overcome the defect of finding common matrices in the whole feasible region but also largely reduce the number of linear matrix inequalities to be solved.Finally,simulation examples show that the proposed PLKF approach is effective.展开更多
目的评估抑郁症患者中体质量指数(body mass index,BMI)正常、超重和代谢综合征(metabolic syndrome,MetS)的转移规律。方法以2016年1月至2021年11月期间于首都医科大学附属北京安定医院治疗,有多次入院记录的抑郁症患者为研究对象,根...目的评估抑郁症患者中体质量指数(body mass index,BMI)正常、超重和代谢综合征(metabolic syndrome,MetS)的转移规律。方法以2016年1月至2021年11月期间于首都医科大学附属北京安定医院治疗,有多次入院记录的抑郁症患者为研究对象,根据每次入院时BMI和代谢情况分为BMI正常、超重和代谢综合征3种状态,采用多状态Markov模型分析转移规律。结果纳入398例研究对象的892条观测记录,中位年龄56岁,中位随访时间40个月。结果显示3种状态间共发生494次转移,其中5.1%由BMI正常转移为超重,5.5%由超重转移为MetS。超重发展为MetS的转移强度最高,是超重变为BMI正常的9.52倍。48.53个月后,BMI正常的抑郁症患者开始转移为MetS。对于超重的患者,8.77个月后开始转移为MetS。36个月后,BMI正常或超重者转移为MetS的概率为31.4%和50.4%;对于合并MetS者,36个月后仍为MetS的概率为51.2%。多因素分析显示未婚是体质量正常的抑郁症患者转移为超重的危险因素,而具有较高的受教育程度是超重的抑郁症患者转移为MetS的保护因素。结论抑郁症患者发展为MetS的强度和风险较高,发生MetS后不易好转,提示加强抑郁症患者的BMI管理和MetS的干预。展开更多
现有的隐喻识别任务研究工作多采用深度学习技术,而并未深入利用语言学规则,主要表现为规则中涉及的目标词的语义与基本义的表征存在缺陷,导致相关模型无法聚焦目标词与更相关上下文词之间的差异,且基本义与上下文含义界限仍然模糊。针...现有的隐喻识别任务研究工作多采用深度学习技术,而并未深入利用语言学规则,主要表现为规则中涉及的目标词的语义与基本义的表征存在缺陷,导致相关模型无法聚焦目标词与更相关上下文词之间的差异,且基本义与上下文含义界限仍然模糊。针对上述问题,提出一种改进语言规则中的表示的隐喻识别模型(MeRL)。首先,增强选择偏好违反(SPV)和隐喻识别过程(MIP)规则都涉及目标词的语义表示;其次,表征MIP规则中的目标词的基本义;最后,融合基于规则设计的SPV与MIP模块来共同识别隐喻。相较于MelBERT(Metaphor-aware late interaction over BERT)等基线模型,在基准数据集VUA-18、VUA Verb、MOH-X上的实验结果表明,所提模型的F1值分别至少提高了0.6、0.9、1.2个百分点,表明该模型识别隐喻更准确;在TroFi数据集上进行zero-shot迁移学习的结果显示,所提模型的F1值至少提高了0.7个百分点,表明该模型的泛化能力更强。展开更多
文摘Based on the idea of fusing modeling, an integrated prediction model for sintering process was proposed. A framework for sulfur content prediction was established, which integrated multi modeling ways together, including mathematical model combined with neural network(NN), rule model based on empirical knowledge and model-choosing coordinator. Via metallurgic mechanism analysis and material balance computation, a mathematical model calculated the sulfur content in agglomerate by the material balance equation with some parameters predicted by NN method. In the other model, the relationship between sulfur content and key factors was described in the form of expert rules. The model-choosing coordinator based on fuzzy logic was introduced to decide the weight of result of each model according to process conditions. The model was tested by industrial application data and produced a relatively satisfactory prediction error. The model also preferably reflected the varying tendency of sulfur content in agglomerate as the evidence of its prediction performance.
文摘By the means of static leaching experiment and dynamic leaching experiment,CODCr leaching rules of dumped MSW(Municipal Solid Waste) in Songtao Reservoir,Hainan Province,China,were studied. And according to academic experience and fitted results of experiment data,the models of CODCr leaching rules in the leaching condition were deduced. The static leaching experiment indicates that,both in water-changing section and no-water-changing section,the ratio of liquid to solid has a remarkable influence on CODCr leaching concentration. The exponential model could be established to approximately describe CODCr leaching rules and the curve fits well. The dynamic leaching experiment indicates that,leaching rules of MSW can be approximately described by power model,which can well fit the leaching experiment data. By the contrast of the static leaching experiment and dynamic leaching experiment,the differences of CODCr leaching rules between the two experiments are significant. By the exponential model,the average static leaching rate of CODCr is calculated as 882.24 mg/(kg·d) for water-changing section and 320.39 mg/(kg·d) for no-water-changing section; by the power model,the average dynamic leaching rate of CODCr is 208.77 mg/(kg·d).
基金Research Grant Council of Hong Kong (GRF Project nos PolyU5331 /07E,PolyU5352 /08E)a grant from Ministry of Sciences and Technology,China (No 2006BAI22B00)
文摘Rehabilitation engineering aims in the upmost degree to restore the lost functions for those persons with physical disability. Biomechanical modeling has been widely used for different purposes in rehabilitation engineering to understand the bio-
基金Project(50374079) supported bythe National Natural Science Foundation of China project(2002cB312200) supported bythe State Key Fundamental Research and Development Programof China
文摘A fast generation method of fuzzy rules for flux optimization decision-making was proposed in order to extract the linguistic knowledge from numerical data in the process of matter converting. The fuzzy if-then rules with consequent real number were extracted from numerical data, and a linguistic representation method for deriving linguistic rules from fuzzy if-then rules with consequent real numbers was developed. The linguistic representation consisted of The simulat two linguistic variables with the degree of certainty and the storage structure of rule base was described. on results show that the method involves neither the time-consuming iterative learning procedure nor the complicated rule generation mechanisms, and can approximate complex system. The method was applied to determine the flux amount of copper converting furnace in the process of matter converting. The real result shows that the mass fraction of Cu in slag is reduced by 0.5 %.
基金supported in part by the Scientific Research Project of Heilongjiang Province Education Bureau(12541200)
文摘The problems of stability and stabilization for the discrete Takagi-Sugeno（T-S） fuzzy time-delay system are investigated.By constructing a discrete piecewise Lyapunov-Krasovskii function（PLKF） in each maximal overlapped-rules group（MORG）,a new sufficient stability condition for the open-loop discrete T-S fuzzy time-delay system is proposed and proved.Then the systematic design of the fuzzy controller is investigated via the parallel distributed compensation control scheme,and a new stabilization condition for the closed-loop discrete T-S fuzzy time-delay system is proposed.The above two sufficient conditions only require finding common matrices in each MORG.Compared with the common Lyapunov-Krasovskii function（CLKF） approach and the fuzzy Lyapunov-Krasovskii function（FLKF） approach,these proposed sufficient conditions can not only overcome the defect of finding common matrices in the whole feasible region but also largely reduce the number of linear matrix inequalities to be solved.Finally,simulation examples show that the proposed PLKF approach is effective.
文摘目的评估抑郁症患者中体质量指数(body mass index,BMI)正常、超重和代谢综合征(metabolic syndrome,MetS)的转移规律。方法以2016年1月至2021年11月期间于首都医科大学附属北京安定医院治疗,有多次入院记录的抑郁症患者为研究对象,根据每次入院时BMI和代谢情况分为BMI正常、超重和代谢综合征3种状态,采用多状态Markov模型分析转移规律。结果纳入398例研究对象的892条观测记录,中位年龄56岁,中位随访时间40个月。结果显示3种状态间共发生494次转移,其中5.1%由BMI正常转移为超重,5.5%由超重转移为MetS。超重发展为MetS的转移强度最高,是超重变为BMI正常的9.52倍。48.53个月后,BMI正常的抑郁症患者开始转移为MetS。对于超重的患者,8.77个月后开始转移为MetS。36个月后,BMI正常或超重者转移为MetS的概率为31.4%和50.4%;对于合并MetS者,36个月后仍为MetS的概率为51.2%。多因素分析显示未婚是体质量正常的抑郁症患者转移为超重的危险因素,而具有较高的受教育程度是超重的抑郁症患者转移为MetS的保护因素。结论抑郁症患者发展为MetS的强度和风险较高,发生MetS后不易好转,提示加强抑郁症患者的BMI管理和MetS的干预。
文摘现有的隐喻识别任务研究工作多采用深度学习技术,而并未深入利用语言学规则,主要表现为规则中涉及的目标词的语义与基本义的表征存在缺陷,导致相关模型无法聚焦目标词与更相关上下文词之间的差异,且基本义与上下文含义界限仍然模糊。针对上述问题,提出一种改进语言规则中的表示的隐喻识别模型(MeRL)。首先,增强选择偏好违反(SPV)和隐喻识别过程(MIP)规则都涉及目标词的语义表示;其次,表征MIP规则中的目标词的基本义;最后,融合基于规则设计的SPV与MIP模块来共同识别隐喻。相较于MelBERT(Metaphor-aware late interaction over BERT)等基线模型,在基准数据集VUA-18、VUA Verb、MOH-X上的实验结果表明,所提模型的F1值分别至少提高了0.6、0.9、1.2个百分点,表明该模型识别隐喻更准确;在TroFi数据集上进行zero-shot迁移学习的结果显示,所提模型的F1值至少提高了0.7个百分点,表明该模型的泛化能力更强。
