云计算的可信性

云计算是一种新兴的商业计算模型,同时又是一种能够动态伸缩的虚拟化资源。云计算的安全问题其实就是一种对可信的挑战。     

浅析可信计算技术及其发展

首先介绍了可信计算技术的发展背景,然后对可信计算技术的体系结构进行了研究,最后列举了一些可信计算技术在实际中一些的应用。     

如何化解云计算的潜在风险

随着云计算技术的快速发展和更广泛应用,云计算的潜在风险越来越受到关注。文章介绍了云计算的应用现状及重要特点,分析了云计算存在的风险,从技术的角度对云计算的潜在风险进行分析。     

解剖学的数字化实验教学平台的构建探索

随着数字医学及数字医疗技术的迅速发展,针对高等医学院校解剖实验教学中存在的问题,如何提高解剖学教学质量,文章介绍了数字化解剖,并分析了数字化解剖实验室的特点,将云计算技术应用到管理数字化实验教学中。给出了基于云计算技术的数字化解剖实验教学平台解决方案,改革数字化解剖实验室,提出一种新的数字化解剖教学模式。     

云计算时代高校IT人才培养模式的创新

阐述了云计算的应用优势;基于对云计算技术特点和知名招聘网站IT职位描述信息进行综合分析,总结未来IT人才需求的趋势,并针对高校相关专业IT人才培养模式提出了改革措施。     

LearningADD: Machine learning based acoustic defect detection in factory automation

Defect inspection of glass bottles in the beverage industrial is of significance to prevent unexpected losses caused by the damage of bottles during manufacturing and transporting. The commonly used manual methods suffer from inefficiency, excessive space consumption, and beverage wastes after filling. To replace the manual operations in the pre-filling detection with improved efficiency and reduced costs, this paper proposes a machine learning based Acoustic Defect Detection (LearningADD) system. Moreover, to realize scalable deployment on edge and cloud computing platforms, deployment strategies especially partitioning and allocation of functionalities need to be compared and optimized under realistic constraints such as latency, complexity, and capacity of the platforms. In particular, to distinguish the defects in glass bottles efficiently, the improved Hilbert-Huang transform (HHT) is employed to extend the extracted feature sets, and then Shuffled Frog Leaping Algorithm (SFLA) based feature selection is applied to optimize the feature sets. Five deployment strategies are quantitatively compared to optimize real-time performances based on the constraints measured from a real edge and cloud environment. The LearningADD algorithms are validated by the datasets from a real-life beverage factory, and the F-measure of the system reaches 98.48 %. The proposed deployment strategies are verified by experiments on private cloud platforms, which shows that the Distributed Heavy Edge deployment outperforms other strategies, benefited from the parallel computing and edge computing, where the Defect Detection Time for one bottle is less than 2.061 s in 99 % probability.     

Land‐use dynamic discovery based on heterogeneous mobility sources

Nowadays, cities are the most relevant type of human settlement and their population has been endlessly growing for decades. At the same time, we are witnessing an explosion of digital data that capture many different aspects and details of city life. This allows detecting human mobility patterns in urban areas with more detail than ever before. In this context, based on the fusion of mobility data from different and heterogeneous sources, such as public transport, transport‐network connectivity and Online Social Networks, this study puts forward a novel approach to uncover the actual land use of a city. Unlike previous solutions, our work avoids a time‐invariant approach and it considers the temporal factor based on the assumption that urban areas are not used by citizens all the time in the same manner. We have tested our solution in two different cities showing high accuracy rates.     

基于P2P的云计算模型及其安全性分析

文章通过将P2P技术和云计算相结合,提出了一种可靠的、可扩展的、低成本的文件共享模型PA-Cloud。该文介绍了PA-Cloud的文件下载和更新过程,并对系统的安全性进行了分析。通过对PA-Cloud进行对比实验表明,PA-Cloud可以有效提高系统的可扩展性,降低服务提供商的成本。     

云计算安全：概念、现状与关键技术

随着云计算的广泛应用,云计算安全问题逐渐凸显出来。文章首先阐述了云计算安全相关概念,并对云计算的安全问题和云计算安全特征进行分析,然后对云计算安全的现状和典型的云计算安全体系架构进行了介绍,并对云计算安全的关键技术进行分析,最后给出了结论。     

云计算安全需求分析研究

云计算是当下发展迅速的信息技术之一。由于其外包式的服务方式,云计算中的安全问题受到人们格外关注。只有妥善地保障云计算的安全,才不会掣肘云计算的发展和推广。鉴于云计算的复杂性和多面性,文章着眼云计算有别于传统技术的新特点、新趋势,首先提出了考量云计算安全需求的多维视角,随后围绕云计算具体实施过程中的若干关键技术,对云计算中的安全需求进行了细致全面的分析和阐释。