Improvements in fuel consumption and emissions of hybrid electric vehicle(HEV)heavily depend upon an efficient energy management strategy(EMS).This paper presents an optimizing fuzzy control strategy of parallel hybri...Improvements in fuel consumption and emissions of hybrid electric vehicle(HEV)heavily depend upon an efficient energy management strategy(EMS).This paper presents an optimizing fuzzy control strategy of parallel hybrid electric vehicle em-展开更多
Hepatitis B virus （HBV）-induced liver failure is an emergent liver disease leading to high mortality. The severity of liver failure may be reflected by the profile of some metabolites. This study assessed the potent...Hepatitis B virus （HBV）-induced liver failure is an emergent liver disease leading to high mortality. The severity of liver failure may be reflected by the profile of some metabolites. This study assessed the potential of using metabolites as biomarkers for liver failure by identifying metabolites with good discriminative performance for its phenotype. The serum samples from 24 HBV-indueed liver failure patients and 23 healthy volunteers were collected and analyzed by gas chromatography-mass spectrometry （GC-MS） to generate metabolite profiles. The 24 patients were further grouped into two classes according to the severity of liver failure. Twenty-five eommensal peaks in all metabolite profiles were extracted, and the relative area values of these peaks were used as features for each sample. Three algorithms, F-test, k-nearest neighbor （KNN） and fuzzy support vector machine （FSVM） combined with exhaustive search （ES）, were employed to identify a subset of metabolites （biomarkers） that best predict liver failure. Based on the achieved experimental dataset, 93.62% predictive accuracy by 6 features was selected with FSVM-ES and three key metabolites, glyeerie acid, cis-aeonitie acid and citric acid, are identified as potential diagnostic biomarkers.展开更多
基于In ternet的计算机辅助工业设计系统,基于案例的计算机辅助工业设计系统研究基础上,结合Case-based Reason ing CBR技术,采用语义隶属度分析的方法,提出了基于设计问题的程序型知识获取模型以及基于相似度计算的程序型知识检索算法...基于In ternet的计算机辅助工业设计系统,基于案例的计算机辅助工业设计系统研究基础上,结合Case-based Reason ing CBR技术,采用语义隶属度分析的方法,提出了基于设计问题的程序型知识获取模型以及基于相似度计算的程序型知识检索算法,为计算机辅助工业设计提供了一个新的思维方式,并在CB ID系统构建中得到实践与验证。展开更多
针对现实中广泛存在的一类模糊需求下多时间窗车辆路径问题(vehicle routing problem with multiple time windows under fuzzy demand, VRPMTW_FD),即车辆配送前客户需求模糊但车辆到达客户后其需求变为确定的多时间窗车辆路径问题(veh...针对现实中广泛存在的一类模糊需求下多时间窗车辆路径问题(vehicle routing problem with multiple time windows under fuzzy demand, VRPMTW_FD),即车辆配送前客户需求模糊但车辆到达客户后其需求变为确定的多时间窗车辆路径问题(vehicle routing problem with multiple time windows, VRPMTW),以最小化总成本为优化目标,构建基于模糊可信性理论的模糊机会约束规划模型,并提出一种两阶段混合优化算法(two-stage hybrid optimization algorithm, TSHOA)进行求解.首先,在TSHOA的第1阶段设计改进灰狼优化算法(improved grey wolf optimizer, IGWO)求解车辆配送前客户需求模糊的VRPMTW,以获得VRPMTW_FD的预优化路径;然后,在TSHOA的第2阶段设计最优点重调度策略(optimal point rescheduling strategy, OPRS),对预优化路径进行动态调整,从而确定合适的返回点以降低因预优化路径故障产生的额外配送成本.通过不同规模问题上的仿真实验和算法比较,验证了TSHOA可有效求解VRPMTW_FD.展开更多
基金supported by the Natural Science Foundation of Hubei Province(Grant No.2015CFB586)
文摘Improvements in fuel consumption and emissions of hybrid electric vehicle(HEV)heavily depend upon an efficient energy management strategy(EMS).This paper presents an optimizing fuzzy control strategy of parallel hybrid electric vehicle em-
基金Project supported by the Postdoctoral Science Foundation of China(No.20070410397)the National Natural Science Foundation of China(No.60705002)the Science and Technology Project of Zhejiang Province,China(No.2005C13026)
文摘Hepatitis B virus （HBV）-induced liver failure is an emergent liver disease leading to high mortality. The severity of liver failure may be reflected by the profile of some metabolites. This study assessed the potential of using metabolites as biomarkers for liver failure by identifying metabolites with good discriminative performance for its phenotype. The serum samples from 24 HBV-indueed liver failure patients and 23 healthy volunteers were collected and analyzed by gas chromatography-mass spectrometry （GC-MS） to generate metabolite profiles. The 24 patients were further grouped into two classes according to the severity of liver failure. Twenty-five eommensal peaks in all metabolite profiles were extracted, and the relative area values of these peaks were used as features for each sample. Three algorithms, F-test, k-nearest neighbor （KNN） and fuzzy support vector machine （FSVM） combined with exhaustive search （ES）, were employed to identify a subset of metabolites （biomarkers） that best predict liver failure. Based on the achieved experimental dataset, 93.62% predictive accuracy by 6 features was selected with FSVM-ES and three key metabolites, glyeerie acid, cis-aeonitie acid and citric acid, are identified as potential diagnostic biomarkers.
文摘针对现实中广泛存在的一类模糊需求下多时间窗车辆路径问题(vehicle routing problem with multiple time windows under fuzzy demand, VRPMTW_FD),即车辆配送前客户需求模糊但车辆到达客户后其需求变为确定的多时间窗车辆路径问题(vehicle routing problem with multiple time windows, VRPMTW),以最小化总成本为优化目标,构建基于模糊可信性理论的模糊机会约束规划模型,并提出一种两阶段混合优化算法(two-stage hybrid optimization algorithm, TSHOA)进行求解.首先,在TSHOA的第1阶段设计改进灰狼优化算法(improved grey wolf optimizer, IGWO)求解车辆配送前客户需求模糊的VRPMTW,以获得VRPMTW_FD的预优化路径;然后,在TSHOA的第2阶段设计最优点重调度策略(optimal point rescheduling strategy, OPRS),对预优化路径进行动态调整,从而确定合适的返回点以降低因预优化路径故障产生的额外配送成本.通过不同规模问题上的仿真实验和算法比较,验证了TSHOA可有效求解VRPMTW_FD.
