Inter-agency government information sharing under data-driven blockchain framework

The inter-agency government information sharing(IAGIS)plays an important role in improving service and efficiency of government agencies.Currently,there is still no effective and secure way for data-driven IAGIS to fulfill dynamic demands of information sharing between government agencies.Motivated by blockchain and data mining,a data-driven framework is proposed for IAGIS in this paper.Firstly,the blockchain is used as the core to design the whole framework for monitoring and preventing leakage and abuse of government information,in order to guarantee information security.Secondly,a four-layer architecture is designed for implementing the proposed framework.Thirdly,the classical data mining algorithms PageRank and Apriori are applied to dynamically design smart contracts for information sharing,for the purposed of flexibly adjusting the information sharing strategies according to the practical demands of government agencies for public management and public service.Finally,a case study is presented to illustrate the operation of the proposed framework.

基于构件的单片机软件开发(二)

结合软件开发方法中的领域分析和构件的知识，对基于构件的软件开发方法在单片机应用系统软件开发中的应用作了一些探索。

一种面向图像修复的局部优化生成模型

图像修复在照片的编辑、去除等方面有着广泛地应用。针对现有深度学习图像修复模型因受卷积算子感受野局限性的影响,导致修复结果存在结构扭曲或纹理模糊的问题,提出一种局部优化生成模型LesT-GAN,该模型由生成器和鉴别器两部分组成。其中,生成器部分由局部增强滑动窗口Transformer模块构成,该模块将深度卷积的平移不变性、局部性优势与Transformer的全局信息建模能力相结合,既能够覆盖较大范围的感受野又能实现局部细节的优化。鉴别器部分是一种基于掩码指导和补丁的相对平均鉴别器,通过估计给定的真实图像比生成图像更真实的平均概率,模拟缺失区域边界周围的像素传播,使生成器训练时能够直接借助真实图像生成更清晰的局部纹理。在Places2,CelebA-HQ和PairsStreet的3种数据集上,与其他先进的图像修复方法进行对比实验,LesT-GAN在L_(1)和FID评价指标方面分别有10.8%和41.36%的提升。实验结果表明,LesT-GAN在多个场景中有更好的修复效果,同时能很好地泛化到比训练时分辨率更高分辨率的图像中。

一种获取细胞免疫信息的图像分析方法

细胞免疫信息在医学和生物学上有着广泛的用途.通过分析彩色免疫荧光图像获此信息.给出一种动态种子值像素生长算法,在均匀颜色空间中提取荧光区域;提出了椭圆匹配方法,从得到的区域中提取细胞;提出了预计算和离散化的方法,计算并分解细胞颜色,以得到免疫信息.讨论了提出的图像分析方法对细胞免疫信息获取的影响.实验表明,获得的免疫信息满足实际医学分析的需要.

The Difference of the Structure of W-Degrees and T-Degrees (Ⅱ)

In this paper, we mainly discuss the difference between T-minimal pairs and W-minimal pairs that there exist r.e. sets A,B such that their W-degrees form minimal pair, but their T-degrees cloes not form minimal pair. Moreover, the similar conclusion holds between the contiguous degrees and T-degrees with USP.

事务处理技术综述

The concept of transaction originates from database research. It is a key technology to ensure the reliabilityand consistency of information. The flat transaction model is not suitable to current complex and distributed applica-tions since it lacks the semantic support for complex applications. In this paper, we survey two approaches to solvethe problems of the flat transaction model: extended transaction models and transactional workflows. We then pre-sent the transaction specifications and major commercial products of transaction processing technologies. Finally, weprospect the trend of these technologies.

引入竞争机制的连续Hopfield神经网络矢量量化算法设计与实现

本文对照经典的矢量量化算法的不足,讨论了基于竞争机制的连续Hopfield神经网络矢量量化算法的设计与实现。详细描述了网络映射过程、网络能量函数的刻画和神经元状态转换方程。实验结果表明,与经典的LBG算法相比,本文所提算法具有更好的性能和强大的并行处理能力以及更优良的全局优化能力。

转型期高校图书馆精准服务方法及其应用实践——以琼台师范学院为例

[目的／意义]以高等专科学校向本科院校转型升级期图书馆精准服务方法研究为目的，通过研究成果的应用与实践，为专升本类转型期高校的图书馆实施快速转型提供一种可借鉴的精准服务方法。[方法／过程]通过分析转型对图书馆教研服务与精准服务的需求，研究并提出转型高校在过渡时期的精准服务方法，通过琼台师范学院图书馆构建“你推我送”服务平台的应用实践，总结出转型时期高校图书馆服务的应对策略。[结果／结论]“你推我送”服务平台推出的精准服务模式，体现出转型期“以学校自身发展阶段为立足点，以图书馆教研服务需求为出发点，以追求学校快速向更高层次发展为核心理念”，面向不同服务对象进行精准服务的适时性与有效性。