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关键词： 设计效率   UML建模   用例   控制对象   无缝链接  

摘要： 人们对通信技术提出了越来越高的要求,促进了通讯技术和设备的技术革新,同时,为了扩大通讯产品的市场,运营商努力提升通讯设施传输信息的效率水平,充分满足客户多样化和高标准的需求,推进设备技术创新。因此,UML 建模的通讯传输得到广泛应用。

关键词： 文化导向   课程建设   节气   实践   农事   劳动教育   学生成长   结构化设计  

摘要： 近年来,在教育部《关于加强中小学劳动教育的意见》指引下,中小学对劳动教育越来越重视,努力搭建各种平台,各种劳动教育模式被创造出来。但由于场地、师资等限制,很多学校止步于让学生“玩”,劳动教育缺乏系统性、结构化设计。基于学生成长需求进行劳动教育课程探索,是提高劳动教育质量的题中应有之义。在此基础上,浙江省慈溪市新浦镇中心小学教育集团将劳动教育与中华传统中的“节气”文化结合,确定了“以农促劳:节气文化导向下的农事拓展课程建设与实践”的行动研究项目。

关键词： 哨兵2号   面向对象分析   水体提取  

摘要： 以新发射的哨兵2号多光谱卫星影像为基础数据源,对城市水体信息进行了面向对象的提取研究。融合大气校正后的哨兵2号卫星10 m分辨率的可见近红外影像和20 m分辨率的短波影像,在多尺度分割的基础上,分析了影像对象的光谱和空间信息,建立了知识规则集;手动调节阈值,实现了水体信息的半自动提取。选取了城区和郊区两个研究区进行实验,总体精度均在95%以上,Kappa系数在0.75以上。结果表明,本文的水体提取方法取得了较好的效果,且城市主城区的水体提取精度高于郊区。

关键词： 软件工程   教学模式   多元化实践  

摘要： 通过对现有软件工程课程存在的问题进行分析,分别从教师团队建设、使用MOOC+SPOC+案例引导方式教学,使学生充分利用课下和课上时间,通过实例掌握了教学知识点。实训课程通过校企合作的优势培养学生,采用多种方法探索软件工程课程改革。

关键词： Topological superconductors   Majorana modes   Josephson junctions   Phase slips   Quantum dots  

摘要： Unequivocal signatures of Majorana zero energy modes in condensed matter systems and manipulation of the associated electron parity states are highly sought after for fundamental reasons as well as for the prospect of topological quantum computing. In this paper, we demonstrate that a ring of Josephson coupled topological superconducting islands threaded by magnetic flux and attached to a quantum dot acts as an excellent parity controlled probe of Majorana mode physics. As a function of flux threading through the ring, standard Josephson coupling yields a Phi(0) = h/(2e) periodic features corresponding to 2 pi phase difference periodicity. In contrast, Majorana mode assisted tunneling provides additional features with 2 Phi(0) (4 pi phase difference) periodicity, associated with single electron processes. We find that increasing the number of islands in the ring enhances the visibility of the desired 4 pi periodic components in the groundstate energy. Moreover as a unique characterization tool, tuning the occupation energy of the quantum dot allows controlled groundstate parity changes in the ring, enabling a toggling between Phi(0) and 2 Phi(0) periodicity.

关键词： Deep learning   encoder   decoder   convolutional neural networks   anomaly detection   segmentation   semiconductor defects  

摘要： Abnormal defect pattern detection plays a key role in preventing yield loss excursion events for the semiconductor manufacturing. We present a method for detecting and segmenting abnormal wafer map defect patterns using deep convolutional encoder-decoder neural network architectures. Using a defect pattern generation model, we create synthetic wafer maps for 8 basis defect patterns, which are used as training, validation, and test datasets. One of the key capabilities for any anomaly detection system is to detect unseen patterns. We demonstrate that by using only synthetic wafer maps with the basis patterns for network training, the models can detect unseen defect patterns from real wafer maps.