摘要：Named entity recognition （NER） is a core component in many natural language processing applications. Most NER systems rely on supervised machine learning methods, which depend on time-consuming and expensive annotations in different languages and domains. This paper presents a method for automatically building silver-standard NER corpora from Chinese Wikipedia. We refine novel and language-dependent features by exploiting the text and structure of Chinese Wikipedia. To reduce tagging errors caused by entity classification, we design four types of heuristic rules based on the characteristics of Chinese Wikipedia and train a supervised NE classifier, and a combined method is used to improve the precision and coverage. Then, we realize type identification of implicit mention by using boundary information of outgoing links. By selecting the sentences related with the domains of test data, we can train better NER models. In the experiments, large-scale NER corpora containing 2.3 million sentences are built from Chinese Wikipedia. The results show the effectiveness of automatically annotated corpora, and the trained NER models achieve the best performance when combining our silver-standard corpora with gold-standard corpora.

摘要：The stratum lithology and geological structure of the highway tunnel in the mountainous areas of western China are complex, and the engineering geological conditions are complicated. When the highway tunnel passes through different lithological strata, its structural design and construction technology are completely different. Therefore, in order to support the tunnel design and construction, the tunnel survey Among them, the identification of the contact boundary between magmatic rock and metamorphic rock and the grade of surrounding rock is very important. Through magnetotelluric survey of the Mupi tunnel of Jiuzhaigou-Mianyang highway on G8513 line, 2D forward numerical simulation, 1D, 2D, 3D inversion, and engineering geological analysis, it is revealed that the electrical characteristics of each layer, focusing on the identification of the contact boundary between magmatic rock and metamorphic rock. This study provides the electrical characteristics of the magmatic rock and metamorphic rock contact boundary of the Mupi Tunnel. It is speculated that the boundary is revealed by the tunnel construction excavation, which verifies the correctness of the geophysical inversion model and provides a more detailed design basis for the tunnel design. I believe that taking the Mupi Tunnel survey as an example, through this research, it can provide detailed geophysical evidence for highway tunnels to distinguish between magmatic rock and metamorphic rock.

摘要：传统的交叉视觉皮质模型(ICM)对单一噪声的去除具有良好的性能.为了扩展ICM在图像降噪领域的应用,提高降噪能力,提出一种基于邻域连接的NL-ICM.针对传统ICM存在的局限性,在神经元的构造上引入双边滤波的思想,通过扩展神经元的连接输入、引入连接权重、设计脉冲阈值实时计算函数,并为神经元设计像素更新规则.实验结果表明,该模型能够较好地去除图像中的混合噪声.

摘要：为实现智能、高效、便捷的云制造服务资源搜索,提高服务资源需求与制造服务资源的匹配精确度,在分析现有服务资源属性检索技术和云制造服务资源特点的基础上,提出一种基于属性匹配的云制造服务资源搜索方法,并建立了其中云制造服务资源属性标准化分类描述模型;设计了服务资源同义词字典集和属性字典集,并以此为基础构造了关键词规范化算法和参数化的属性匹配算法。通过算法复杂度分析和实例验证表明,该方法具有云制造服务资源的高效准确匹配的优势。

摘要：针对目前微电网控制器成本较高、标准各异、集成度低和缺乏具有实际操作性的能量管理策略等问题,设计了一种集计量监控和能量管理一体化的园区微电网中央控制器。采用基于ARM的嵌入式系统硬件平台,模块化设计。考虑到园区企业用能需求,开发了具有园区特色的能量管理策略,给出一种基于三次指数平滑法的需量预测方法并利用储能系统来进行需量管理,在不影响企业办公生产的同时降低用电成本。通过搭建物理实验平台对中央控制器的功能和能量管理策略进行了验证,具有较好的实用性。

摘要：真实图像再现技术旨在实现人类视觉对场景的真实认知,兼顾低动态范围图像增强和高动态范围图像色调映射的双重任务。该文首先对真实图像再现技术进展作了总结和分析,着重指出了视觉系统相关思路和方法,进而提出基于邻域强化连接交叉视觉皮质模型的统一框架,设计了算法流程,实现了不同动态范围图像在显示端真实再现的目标。仿真实验表明该方法尤其对于非均匀光照图像,能够提高亮度动态范围和调整对比度,同时能够保证高动态图像的高视觉质量显示。

摘要：为了合理评估屏蔽体对低频强磁场的屏蔽效果,为工程中屏蔽室质量验收提供必要的检测手段,根据小环天线法测量电磁屏蔽室屏蔽效能的原理,提出了低频强磁场屏蔽效能测试系统的整体结构和设计方案,研制了以PIC16F73单片机为核心的低频大电流源,设计和制作了磁场发射、接收环天线,构建了低频强磁场屏蔽效能测试设备;采用研制的测试设备对屏蔽室进行了屏蔽效能实测。测试结果与理论值符合较好,表明测试设备能够满足实际测量的需要,同时验证了计算结果的可信性。

摘要：针对高动态范围图像(HDRI)在低动态范围显示设备上的可视化问题,提出基于交叉皮质模型(ICM)的色调映射算法,其在融入人类视觉特性的同时兼顾了全局亮度和局部细节保持.首先将线性热流(LHF)应用于向心自动波(CA)的实现,构成LHF-CA-ICM,以解决原有ICM自动波效应的负面影响;然后根据LFH-CA-ICM迭代过程,通过设计自适应S形函数将亮度信息从高动态范围向低动态范围映射,并进行基于直方图截取的后处理;最后在RGB空间恢复颜色信息.实验结果表明,该算法可以获得HDRI高视觉质量显示效果,能够再现真实场景的细节和丰富色彩,并有效地避免了光晕等人工效应.

摘要：为在视频流上实现特定人物实时检测,提出基于稳健哈希签名的人物检测方法.首先设计稳健哈希函数并计算目标图像的签名,然后在实时视频流上计算关键帧图像的签名,再衡量两者相似程度并判断该视频是否含有设定的目标.该方法能实时发现与设定人物相似的视频关键帧,从而定位到该关键帧所在的镜头,实现视频流特定人物检测功能.实验表明该方法可达到较高的准确率,这对于及时获取特定信息有重要作用.该方法也可以用于图像复制检测、重复视频检测等.

摘要：教育工作关系到受教育者的心灵塑造、道德生成及素质发展。良心是教育工作的重要动力和调节机制所在。教育良心是每一位教育工作者必须具备的职业道德素质,也是每一位教育工作者都应该追逐并坚守的道德灵魂。把教育工作当成一项良心事业,这不仅是时代的呼唤,也是对教育活动回归教育本真的追寻。教育工作中的良心主要体现在教师的教学、教育管理者的决策与制度设计、学者的学术活动中。因此,我们要采取多方面的措施强化教师职业道德意识,加强教育管理者在上层设计过程中的良心意识,强调学者凭良心从事学术,使教育工作沿着良心指引的路径前进,确保教育事业可持续发展。