In data mining from transaction DB, the relationships between the attributes have been focused, but the relationships between the tuples have not been taken into account. In spatial database, there are relationships b...In data mining from transaction DB, the relationships between the attributes have been focused, but the relationships between the tuples have not been taken into account. In spatial database, there are relationships between the attributes and the tuples, and most of the associations occur between the tuples, such as adjacent, intersection, overlap and other topological relationships. So the tasks of spatial data association rules mining include mining the relationships between attributes of spatial objects, which are called as vertical direction DM, and the relationships between the tuples, which are called as horizontal direction DM. This paper analyzes the storage models of spatial data, uses for reference the technologies of data mining in transaction DB, defines the spatial data association rule, including vertical direction association rule, horizontal direction association rule and two-direction association rule, discusses the measurement of spatial association rule interestingness, and puts forward the work flows of spatial association rule data mining. During two-direction spatial association rules mining, an algorithm is proposed to get non-spatial itemsets. By virtue of spatial analysis, the spatial relations were transferred into non-spatial associations and the non-spatial itemsets were gotten. Based on the non-spatial itemsets, the Apriori algorithm or other algorithms could be used to get the frequent itemsets and then the spatial association rules come into being. Using spatial DB, the spatial association rules were gotten to validate the algorithm, and the test results show that this algorithm is efficient and can mine the interesting spatial rules.展开更多
In this paper, we explore the linear combinations of right half-plane mappings and vertical strip mappings. We demonstrate that the combinations of these harmonic mappings are convex in the vertical direction provided...In this paper, we explore the linear combinations of right half-plane mappings and vertical strip mappings. We demonstrate that the combinations of these harmonic mappings are convex in the vertical direction provided they are locally univalent and sense-preserving. Furthermore, we extend this analysis to a more general case by setting specific conditions. Additionally, we take some common parameters such as as the dilatation of these harmonic mappings, and prove the sufficient conditions that their combinations are locally univalent and convex in the vertical direction. Several examples are constructed by the Mathematica software to demonstrate our main results.展开更多
针对人体动作识别任务中特征值选取不当导致识别率低、使用多模态数据导致训练成本高等问题,提出一种轻量级人体动作识别方法。首先使用OpenPose、PoseNet提取出人体骨架信息,使用BWT69CL传感器提取姿势信息;其次对数据进行预处理、特...针对人体动作识别任务中特征值选取不当导致识别率低、使用多模态数据导致训练成本高等问题,提出一种轻量级人体动作识别方法。首先使用OpenPose、PoseNet提取出人体骨架信息,使用BWT69CL传感器提取姿势信息;其次对数据进行预处理、特征融合,对人体动作进行深度学习分类识别;最后,为验证此方法的有效性,在公开数据集WISDM、UCIHAR、HASC和自建的人体动作数据集上进行实验验证,并使用改进的目标引导注意力机制(target-guided attention,TGA)–长短期记忆(long short term memory,LSTM)网络输出最终的分类结果。实验结果表明,在自建数据集下融合姿势和骨架特征达到99.87%准确率,相比于只使用姿势信息特征,识别准确率提高了约5.31个百分点;相比于只使用人体骨架特征,识别准确率提高了约1.87个百分点;在识别时间上相比于只使用姿势信息,识别时间降低了约29.73 s;相比于只使用人体骨架数据,识别时间降低了约9 s。使用该方法能及时有效地反映人体的运动意图,有助于提高人体动作和行为的识别准确率和训练效率。展开更多
目的:系统评价经颅直流电刺激对帕金森患者运动功能的康复疗效,并比较经颅直流电刺激作用于不同靶点对帕金森患者运动功能的疗效差异,为临床中经颅直流电刺激的靶点选择提供理论依据。方法:计算机检索Cochrane Library、PubMed、Web of ...目的:系统评价经颅直流电刺激对帕金森患者运动功能的康复疗效,并比较经颅直流电刺激作用于不同靶点对帕金森患者运动功能的疗效差异,为临床中经颅直流电刺激的靶点选择提供理论依据。方法:计算机检索Cochrane Library、PubMed、Web of Science、中国知网、维普和万方数据库,以“帕金森、经颅直流电刺激”为中文检索词,以“Parkinson,transcranial direct current stimulation”为英文检索词,收集从各数据库建库至2023年1月发表的关于经颅直流电刺激改善帕金森患者运动功能的随机对照试验。使用Cochrane 5.1.0偏倚风险评估工具和PEDro量表对纳入研究进行质量评价。采用RevMan 5.4和Stata 17.0软件对结局指标进行Meta分析。结果:①最终纳入15项随机对照试验,PEDro量表评估显示均为高质量或极高质量研究。②Meta分析显示,与对照组相比经颅直流电刺激可显著提高UPDRS-Ⅲ评分(MD=-2.49,95%CI:-4.42至-0.55,P<0.05)、步频评分(MD=0.07,95%CI:0.03-0.11,P<0.05)和步速评分(MD=0.02,95%CI:0.00-0.05,P<0.05),但对BBS评分(MD=2.57,95%CI:-0.74-5.87,P>0.05)的提高不明显。③网状Meta分析概率排序结果显示,在UPDRS-Ⅲ评分方面,刺激靶点疗效的概率排序结果为背外侧前额叶皮质(52.4%)>初级皮质运动区(45.8%)>大脑中央点(1.8%)>常规康复治疗(0%);在步频评分方面,刺激靶点疗效的概率排序结果为小脑(50.1%)>大脑中央点(45.8%)>背外侧前额叶皮质(3.9%)>初级皮质运动区(0.2%)>常规康复治疗(0%);在步速评分方面,刺激靶点疗效的概率排序结果为小脑(64.8%)>背外侧前额叶皮质(23.8%)>大脑中央点(9.4%)>初级皮质运动区(1.7%)>常规康复治疗(0.4%);在BBS评分方面,刺激靶点疗效的概率排序结果为:小脑(77.4%)>背外侧前额叶皮质(20.7%)>大脑中央点(0.7%)>常规康复治疗(0.2%)。结论:经颅直流电刺激可显著改善帕金森患者运动功能,其中刺激背外侧前额叶皮质区域对改善帕金森患者运动协调方面疗效更佳,而刺激小脑区域对改善帕金森患者步行和平衡方面疗效更佳。展开更多
基金The work is supported by Natural Science Foundatiion of Chongqing (No .CSTC 2005BB2065)
文摘In data mining from transaction DB, the relationships between the attributes have been focused, but the relationships between the tuples have not been taken into account. In spatial database, there are relationships between the attributes and the tuples, and most of the associations occur between the tuples, such as adjacent, intersection, overlap and other topological relationships. So the tasks of spatial data association rules mining include mining the relationships between attributes of spatial objects, which are called as vertical direction DM, and the relationships between the tuples, which are called as horizontal direction DM. This paper analyzes the storage models of spatial data, uses for reference the technologies of data mining in transaction DB, defines the spatial data association rule, including vertical direction association rule, horizontal direction association rule and two-direction association rule, discusses the measurement of spatial association rule interestingness, and puts forward the work flows of spatial association rule data mining. During two-direction spatial association rules mining, an algorithm is proposed to get non-spatial itemsets. By virtue of spatial analysis, the spatial relations were transferred into non-spatial associations and the non-spatial itemsets were gotten. Based on the non-spatial itemsets, the Apriori algorithm or other algorithms could be used to get the frequent itemsets and then the spatial association rules come into being. Using spatial DB, the spatial association rules were gotten to validate the algorithm, and the test results show that this algorithm is efficient and can mine the interesting spatial rules.
文摘In this paper, we explore the linear combinations of right half-plane mappings and vertical strip mappings. We demonstrate that the combinations of these harmonic mappings are convex in the vertical direction provided they are locally univalent and sense-preserving. Furthermore, we extend this analysis to a more general case by setting specific conditions. Additionally, we take some common parameters such as as the dilatation of these harmonic mappings, and prove the sufficient conditions that their combinations are locally univalent and convex in the vertical direction. Several examples are constructed by the Mathematica software to demonstrate our main results.
文摘针对人体动作识别任务中特征值选取不当导致识别率低、使用多模态数据导致训练成本高等问题,提出一种轻量级人体动作识别方法。首先使用OpenPose、PoseNet提取出人体骨架信息,使用BWT69CL传感器提取姿势信息;其次对数据进行预处理、特征融合,对人体动作进行深度学习分类识别;最后,为验证此方法的有效性,在公开数据集WISDM、UCIHAR、HASC和自建的人体动作数据集上进行实验验证,并使用改进的目标引导注意力机制(target-guided attention,TGA)–长短期记忆(long short term memory,LSTM)网络输出最终的分类结果。实验结果表明,在自建数据集下融合姿势和骨架特征达到99.87%准确率,相比于只使用姿势信息特征,识别准确率提高了约5.31个百分点;相比于只使用人体骨架特征,识别准确率提高了约1.87个百分点;在识别时间上相比于只使用姿势信息,识别时间降低了约29.73 s;相比于只使用人体骨架数据,识别时间降低了约9 s。使用该方法能及时有效地反映人体的运动意图,有助于提高人体动作和行为的识别准确率和训练效率。
文摘目的:系统评价经颅直流电刺激对帕金森患者运动功能的康复疗效,并比较经颅直流电刺激作用于不同靶点对帕金森患者运动功能的疗效差异,为临床中经颅直流电刺激的靶点选择提供理论依据。方法:计算机检索Cochrane Library、PubMed、Web of Science、中国知网、维普和万方数据库,以“帕金森、经颅直流电刺激”为中文检索词,以“Parkinson,transcranial direct current stimulation”为英文检索词,收集从各数据库建库至2023年1月发表的关于经颅直流电刺激改善帕金森患者运动功能的随机对照试验。使用Cochrane 5.1.0偏倚风险评估工具和PEDro量表对纳入研究进行质量评价。采用RevMan 5.4和Stata 17.0软件对结局指标进行Meta分析。结果:①最终纳入15项随机对照试验,PEDro量表评估显示均为高质量或极高质量研究。②Meta分析显示,与对照组相比经颅直流电刺激可显著提高UPDRS-Ⅲ评分(MD=-2.49,95%CI:-4.42至-0.55,P<0.05)、步频评分(MD=0.07,95%CI:0.03-0.11,P<0.05)和步速评分(MD=0.02,95%CI:0.00-0.05,P<0.05),但对BBS评分(MD=2.57,95%CI:-0.74-5.87,P>0.05)的提高不明显。③网状Meta分析概率排序结果显示,在UPDRS-Ⅲ评分方面,刺激靶点疗效的概率排序结果为背外侧前额叶皮质(52.4%)>初级皮质运动区(45.8%)>大脑中央点(1.8%)>常规康复治疗(0%);在步频评分方面,刺激靶点疗效的概率排序结果为小脑(50.1%)>大脑中央点(45.8%)>背外侧前额叶皮质(3.9%)>初级皮质运动区(0.2%)>常规康复治疗(0%);在步速评分方面,刺激靶点疗效的概率排序结果为小脑(64.8%)>背外侧前额叶皮质(23.8%)>大脑中央点(9.4%)>初级皮质运动区(1.7%)>常规康复治疗(0.4%);在BBS评分方面,刺激靶点疗效的概率排序结果为:小脑(77.4%)>背外侧前额叶皮质(20.7%)>大脑中央点(0.7%)>常规康复治疗(0.2%)。结论:经颅直流电刺激可显著改善帕金森患者运动功能,其中刺激背外侧前额叶皮质区域对改善帕金森患者运动协调方面疗效更佳,而刺激小脑区域对改善帕金森患者步行和平衡方面疗效更佳。
