Visible to the public Biblio

Filters: Keyword is Large scale integration  [Clear All Filters]
2023-08-25
Peng, Jianhuan.  2022.  Research on E-government Information Security Based on Cloud Computing. 2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). 10:312–316.
As an important pillar of social informatization, e-government not only provides more convenient services for the public, but also effectively improves administrative efficiency. At the same time, the application of cloud computing technology also urgently requires the government to improve the level of digital construction. This paper proposes the concept of e-government based on cloud computing, analyze the possible hidden dangers that cloud computing brings to e-government in management, technology, and security, and build cloud computing e-government information security system from three aspects: cloud security management, cloud security technology, and cloud security assurance.
ISSN: 2693-2865
2021-11-29
Nazemi, Kawa, Klepsch, Maike J., Burkhardt, Dirk, Kaupp, Lukas.  2020.  Comparison of Full-Text Articles and Abstracts for Visual Trend Analytics through Natural Language Processing. 2020 24th International Conference Information Visualisation (IV). :360–367.
Scientific publications are an essential resource for detecting emerging trends and innovations in a very early stage, by far earlier than patents may allow. Thereby Visual Analytics systems enable a deep analysis by applying commonly unsupervised machine learning methods and investigating a mass amount of data. A main question from the Visual Analytics viewpoint in this context is, do abstracts of scientific publications provide a similar analysis capability compared to their corresponding full-texts? This would allow to extract a mass amount of text documents in a much faster manner. We compare in this paper the topic extraction methods LSI and LDA by using full text articles and their corresponding abstracts to obtain which method and which data are better suited for a Visual Analytics system for Technology and Corporate Foresight. Based on a easy replicable natural language processing approach, we further investigate the impact of lemmatization for LDA and LSI. The comparison will be performed qualitative and quantitative to gather both, the human perception in visual systems and coherence values. Based on an application scenario a visual trend analytics system illustrates the outcomes.
2020-06-08
Elhassani, Mustapha, Boulbot, Aziz, Chillali, Abdelhakim, Mouhib, Ali.  2019.  Fully homomorphic encryption scheme on a nonCommutative ring R. 2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS). :1–4.
This article is an introduction to a well known problem on the ring Fq[e] where e3=e2: Fully homomorphic encryption scheme. In this paper, we introduce a new diagram of encryption based on the conjugate problem on Fq[e] , (ESR(Fq[e])).