对雷达装备故障文本进行智能化分类,有助于提高雷达装备保障效率。针对雷达故障文本专业性强,样本量小且不平衡的问题,通过非核心词EDA进行类内数据增强,以实现在增加文本量的同时保持关键信息不变。针对非核心词EDA方法产生的新样本多...对雷达装备故障文本进行智能化分类,有助于提高雷达装备保障效率。针对雷达故障文本专业性强,样本量小且不平衡的问题,通过非核心词EDA进行类内数据增强,以实现在增加文本量的同时保持关键信息不变。针对非核心词EDA方法产生的新样本多样性不够的问题,增加SSMix(saliency-based span mixup for text classification),进行类间数据增强,通过对输入文本非线性的交叉融合来提升文本的多样性。实验证明,与现有的经典基线分类方法和典型数据增强分类方法相比,该方法在准确率上有较大幅度的提升。展开更多
伴随市场环境的复杂多变,高端装备制造业必须通过协同创新来增强技术实力及提高创新成效,其中伙伴选择是其实现创新的关键一步。首先,分析总结伙伴选择评价指标相关文献,并结合高端装备制造业协同创新发展需求,从互补性、兼容性、创新...伴随市场环境的复杂多变,高端装备制造业必须通过协同创新来增强技术实力及提高创新成效,其中伙伴选择是其实现创新的关键一步。首先,分析总结伙伴选择评价指标相关文献,并结合高端装备制造业协同创新发展需求,从互补性、兼容性、创新资源、创新能力、创新环境、声誉与信任及技术水平这7个维度,建立了高端装备制造业协同创新伙伴选择指标体系;然后,考虑到高端装备制造业的复杂性及专家评价的模糊性,在概率犹豫模糊环境下,构建基于可能度的平均解距离法(evaluation based on distance from average solution,EDAS)群决策评价模型,并将其应用到该指标体系下的协同创新伙伴选择中;最后,通过一个算例,对该研究方法加以验证,为高端装备制造业进行协同创新伙伴选择提供一定的参考。展开更多
Chalcopyrite is the main Cu-containing mineral and cannot be separated well from pyrite using traditional xanthate collectors with large amounts of lime depressant, resulting in difficulties of the tailing treatment a...Chalcopyrite is the main Cu-containing mineral and cannot be separated well from pyrite using traditional xanthate collectors with large amounts of lime depressant, resulting in difficulties of the tailing treatment and associated precious metals recovery. Therefore, in this study, the green and odourless ethylenediamine tetramethylenephosphonic acid(EDTMPA) was introduced as a novel chalcopyrite collector. Flotation results from the binary mineral mixture and real ore demonstrated that EDTMPA could realize the selective separation of chalcopyrite from pyrite relative to ethyl xanthate(EX) without any depressants within the wide p H range of 6.0–11.0, and might replace the traditional high-alkaline lime process. Electrochemical and Fourier transform infrared spectra measurements indicated that the difference in adsorption performance of EDTMPA on chalcopyrite and pyrite was larger than that of EX, suggesting a better selectivity for EDTMPA. Density functional theory calculations demonstrated that there were stronger chemical bonds between P—O groups of EDTMPA and the Fe/Cu atoms on chalcopyrite in the form of a stable six-membered ring. Crystal chemistry calculations further revealed that the activity of metal atoms of chalcopyrite was higher than that of pyrite. Therefore, these basic theoretical results and practical application provide a guidance for the industrial application of EDTMPA in chalcopyrite flotation.展开更多
地铁交通作为最具可持续发展的交通模式,是城市居民出行的首选工具。但地铁车辆构造复杂,零部件繁多,因此需探索出一种适用性较好的零部件智能诊断方法,来保障地铁车辆的安全运行。对维修数据进行EDA(Exploratory Data Analysis,探索性...地铁交通作为最具可持续发展的交通模式,是城市居民出行的首选工具。但地铁车辆构造复杂,零部件繁多,因此需探索出一种适用性较好的零部件智能诊断方法,来保障地铁车辆的安全运行。对维修数据进行EDA(Exploratory Data Analysis,探索性数据分析),通过描述性统计、可视化、特征计算、方程拟合等手段,去发现数据的结构和规律。结果表明,故障最主要的原因为质量与材料,两者合计占比高达59.4%,例如信号与屏蔽门故障发生率占比为19.8%,空调系统故障发生率占比为13.9%。通过EDA分析车辆故障情况,将有助于智能诊断的研究。展开更多
文摘对雷达装备故障文本进行智能化分类,有助于提高雷达装备保障效率。针对雷达故障文本专业性强,样本量小且不平衡的问题,通过非核心词EDA进行类内数据增强,以实现在增加文本量的同时保持关键信息不变。针对非核心词EDA方法产生的新样本多样性不够的问题,增加SSMix(saliency-based span mixup for text classification),进行类间数据增强,通过对输入文本非线性的交叉融合来提升文本的多样性。实验证明,与现有的经典基线分类方法和典型数据增强分类方法相比,该方法在准确率上有较大幅度的提升。
文摘伴随市场环境的复杂多变,高端装备制造业必须通过协同创新来增强技术实力及提高创新成效,其中伙伴选择是其实现创新的关键一步。首先,分析总结伙伴选择评价指标相关文献,并结合高端装备制造业协同创新发展需求,从互补性、兼容性、创新资源、创新能力、创新环境、声誉与信任及技术水平这7个维度,建立了高端装备制造业协同创新伙伴选择指标体系;然后,考虑到高端装备制造业的复杂性及专家评价的模糊性,在概率犹豫模糊环境下,构建基于可能度的平均解距离法(evaluation based on distance from average solution,EDAS)群决策评价模型,并将其应用到该指标体系下的协同创新伙伴选择中;最后,通过一个算例,对该研究方法加以验证,为高端装备制造业进行协同创新伙伴选择提供一定的参考。
基金financial supports from the Key Program for International S&T Cooperation Projects of China (No. 2021YFE0106800)the National Natural Science Foundation of China (No. U2067201)+3 种基金the Leading Talents of S & T Innovation of Hunan Province, China (No. 2021RC4002)the Science Fund for Distinguished Young Scholars of Hunan Province, China (No. 2020JJ2044)the Key Research and Development Program of Hunan Province, China (No. 2021SK2043)the National 111 Project, China (No. B14034)。
文摘Chalcopyrite is the main Cu-containing mineral and cannot be separated well from pyrite using traditional xanthate collectors with large amounts of lime depressant, resulting in difficulties of the tailing treatment and associated precious metals recovery. Therefore, in this study, the green and odourless ethylenediamine tetramethylenephosphonic acid(EDTMPA) was introduced as a novel chalcopyrite collector. Flotation results from the binary mineral mixture and real ore demonstrated that EDTMPA could realize the selective separation of chalcopyrite from pyrite relative to ethyl xanthate(EX) without any depressants within the wide p H range of 6.0–11.0, and might replace the traditional high-alkaline lime process. Electrochemical and Fourier transform infrared spectra measurements indicated that the difference in adsorption performance of EDTMPA on chalcopyrite and pyrite was larger than that of EX, suggesting a better selectivity for EDTMPA. Density functional theory calculations demonstrated that there were stronger chemical bonds between P—O groups of EDTMPA and the Fe/Cu atoms on chalcopyrite in the form of a stable six-membered ring. Crystal chemistry calculations further revealed that the activity of metal atoms of chalcopyrite was higher than that of pyrite. Therefore, these basic theoretical results and practical application provide a guidance for the industrial application of EDTMPA in chalcopyrite flotation.
文摘地铁交通作为最具可持续发展的交通模式,是城市居民出行的首选工具。但地铁车辆构造复杂,零部件繁多,因此需探索出一种适用性较好的零部件智能诊断方法,来保障地铁车辆的安全运行。对维修数据进行EDA(Exploratory Data Analysis,探索性数据分析),通过描述性统计、可视化、特征计算、方程拟合等手段,去发现数据的结构和规律。结果表明,故障最主要的原因为质量与材料,两者合计占比高达59.4%,例如信号与屏蔽门故障发生率占比为19.8%,空调系统故障发生率占比为13.9%。通过EDA分析车辆故障情况,将有助于智能诊断的研究。
