This study focuses on the improvement of path planning efficiency for underwater gravity-aided navigation.Firstly,a Depth Sorting Fast Search(DSFS)algorithm was proposed to improve the planning speed of the Quick Rapi...This study focuses on the improvement of path planning efficiency for underwater gravity-aided navigation.Firstly,a Depth Sorting Fast Search(DSFS)algorithm was proposed to improve the planning speed of the Quick Rapidly-exploring Random Trees*(Q-RRT*)algorithm.A cost inequality relationship between an ancestor and its descendants was derived,and the ancestors were filtered accordingly.Secondly,the underwater gravity-aided navigation path planning system was designed based on the DSFS algorithm,taking into account the fitness,safety,and asymptotic optimality of the routes,according to the gravity suitability distribution of the navigation space.Finally,experimental comparisons of the computing performance of the ChooseParent procedure,the Rewire procedure,and the combination of the two procedures for Q-RRT*and DSFS were conducted under the same planning environment and parameter conditions,respectively.The results showed that the computational efficiency of the DSFS algorithm was improved by about 1.2 times compared with the Q-RRT*algorithm while ensuring correct computational results.展开更多
In this paper,we propose a novel adjustable multiple cross-hexagonal search(AMCHS) algorithm for fast block motion estimation. It employs adjustable multiple cross search patterns(AMCSP) in the first step and then use...In this paper,we propose a novel adjustable multiple cross-hexagonal search(AMCHS) algorithm for fast block motion estimation. It employs adjustable multiple cross search patterns(AMCSP) in the first step and then uses half-way-skip and half-way-stop technique to determine whether to employ two hexagonal search patterns(HSPs) subsequently. The AMCSP can be used to find small motion vectors efficiently while the HSPs can be used to find large ones accurately to ensure prediction quality. Simulation results showed that our proposed AMCHS achieves faster search speed,and provides better distortion performance than other popular fast search algorithms,such as CDS and CDHS.展开更多
为进一步提升网络入侵检测效果,提出一种融合FAST特征选择与自适应二进制量子引力搜索支持向量机的(FAST-ABQGSA-SVM)网络入侵检测算法。利用FAST算法过滤掉原始特征集中冗余无关的特征形成候选特征子集,基于组合优化策略采用自适应二...为进一步提升网络入侵检测效果,提出一种融合FAST特征选择与自适应二进制量子引力搜索支持向量机的(FAST-ABQGSA-SVM)网络入侵检测算法。利用FAST算法过滤掉原始特征集中冗余无关的特征形成候选特征子集,基于组合优化策略采用自适应二进制量子引力搜索算法对候选特征子集与SVM分类器参数进行组合优化。在ABQGSA反复学习寻优过程中,采取动态自适应波动式调整策略更新量子旋转角以平衡算法全局搜索能力和局部搜索能力;同时为提升算法的自适应变异能力,设计与进化程度及个体适应度值相关的自适应变异概率,当种群进化出现停滞时及时引入量子位离散交叉操作帮助种群摆脱局部极值。通过KDD CUP 99仿真实验表明,所提出的FAST-ABQGSA-SVM算法较其他同类型检测算法具有更好的鲁棒性、学习精度以及检测效果。展开更多
目的识别结直肠癌患者治疗后不良结局的直接与间接影响因素,并探讨这些因素与不良结局之间的因果效应,为改善患者不良结局提供依据。方法收集2013年至2015年在哈尔滨医科大学附属肿瘤医院入院并确诊为结直肠癌的患者病例信息,将治疗后...目的识别结直肠癌患者治疗后不良结局的直接与间接影响因素,并探讨这些因素与不良结局之间的因果效应,为改善患者不良结局提供依据。方法收集2013年至2015年在哈尔滨医科大学附属肿瘤医院入院并确诊为结直肠癌的患者病例信息,将治疗后两年内发生死亡、转移或复发定义为不良结局。以快速等价贪婪搜索算法构建因果图模型并分析不良结局的直接与间接影响因素,在此基础上采用无因果图时的干预演算(intervention calculus when the directed acyclic graph is absent,IDA)算法评估影响因素对不良结局的因果效应。结果共纳入2332例患者,平均年龄(68.0±10.9)岁,不良结局发生率6.22%。因果图包含20个节点、36条边;不良结局发生的直接影响因素包括化疗、病理类型、手术治疗及住院天数(|IDA|分别为0.039、0.059、0.255、0.054);间接影响因素包括年龄、饮酒、身体质量指数、分化程度、放疗、手术性质(|IDA|分别为0.011、0.021、0.012、0.042、0.021、0.030)。结论在因果图识别结直肠癌不良结局的关键因素基础上,IDA算法可量化影响因素对不良结局的因果效应。研究提示在结直肠癌的临床治疗中,提高无手术、化疗禁忌症患者的手术及化疗接受率可降低不良结局发生率,从而改善预后。展开更多
基金the National Natural Science Foundation of China(Grant No.42274119)the Liaoning Revitalization Talents Program(Grant No.XLYC2002082)+1 种基金National Key Research and Development Plan Key Special Projects of Science and Technology Military Civil Integration(Grant No.2022YFF1400500)the Key Project of Science and Technology Commission of the Central Military Commission.
文摘This study focuses on the improvement of path planning efficiency for underwater gravity-aided navigation.Firstly,a Depth Sorting Fast Search(DSFS)algorithm was proposed to improve the planning speed of the Quick Rapidly-exploring Random Trees*(Q-RRT*)algorithm.A cost inequality relationship between an ancestor and its descendants was derived,and the ancestors were filtered accordingly.Secondly,the underwater gravity-aided navigation path planning system was designed based on the DSFS algorithm,taking into account the fitness,safety,and asymptotic optimality of the routes,according to the gravity suitability distribution of the navigation space.Finally,experimental comparisons of the computing performance of the ChooseParent procedure,the Rewire procedure,and the combination of the two procedures for Q-RRT*and DSFS were conducted under the same planning environment and parameter conditions,respectively.The results showed that the computational efficiency of the DSFS algorithm was improved by about 1.2 times compared with the Q-RRT*algorithm while ensuring correct computational results.
文摘In this paper,we propose a novel adjustable multiple cross-hexagonal search(AMCHS) algorithm for fast block motion estimation. It employs adjustable multiple cross search patterns(AMCSP) in the first step and then uses half-way-skip and half-way-stop technique to determine whether to employ two hexagonal search patterns(HSPs) subsequently. The AMCSP can be used to find small motion vectors efficiently while the HSPs can be used to find large ones accurately to ensure prediction quality. Simulation results showed that our proposed AMCHS achieves faster search speed,and provides better distortion performance than other popular fast search algorithms,such as CDS and CDHS.
文摘为进一步提升网络入侵检测效果,提出一种融合FAST特征选择与自适应二进制量子引力搜索支持向量机的(FAST-ABQGSA-SVM)网络入侵检测算法。利用FAST算法过滤掉原始特征集中冗余无关的特征形成候选特征子集,基于组合优化策略采用自适应二进制量子引力搜索算法对候选特征子集与SVM分类器参数进行组合优化。在ABQGSA反复学习寻优过程中,采取动态自适应波动式调整策略更新量子旋转角以平衡算法全局搜索能力和局部搜索能力;同时为提升算法的自适应变异能力,设计与进化程度及个体适应度值相关的自适应变异概率,当种群进化出现停滞时及时引入量子位离散交叉操作帮助种群摆脱局部极值。通过KDD CUP 99仿真实验表明,所提出的FAST-ABQGSA-SVM算法较其他同类型检测算法具有更好的鲁棒性、学习精度以及检测效果。
文摘目的识别结直肠癌患者治疗后不良结局的直接与间接影响因素,并探讨这些因素与不良结局之间的因果效应,为改善患者不良结局提供依据。方法收集2013年至2015年在哈尔滨医科大学附属肿瘤医院入院并确诊为结直肠癌的患者病例信息,将治疗后两年内发生死亡、转移或复发定义为不良结局。以快速等价贪婪搜索算法构建因果图模型并分析不良结局的直接与间接影响因素,在此基础上采用无因果图时的干预演算(intervention calculus when the directed acyclic graph is absent,IDA)算法评估影响因素对不良结局的因果效应。结果共纳入2332例患者,平均年龄(68.0±10.9)岁,不良结局发生率6.22%。因果图包含20个节点、36条边;不良结局发生的直接影响因素包括化疗、病理类型、手术治疗及住院天数(|IDA|分别为0.039、0.059、0.255、0.054);间接影响因素包括年龄、饮酒、身体质量指数、分化程度、放疗、手术性质(|IDA|分别为0.011、0.021、0.012、0.042、0.021、0.030)。结论在因果图识别结直肠癌不良结局的关键因素基础上,IDA算法可量化影响因素对不良结局的因果效应。研究提示在结直肠癌的临床治疗中,提高无手术、化疗禁忌症患者的手术及化疗接受率可降低不良结局发生率,从而改善预后。
