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Blockchain for Education: Lifelong Learning Passport b区块链教育:终身学习护照
IF 0.1 Pub Date : 2020-01-01 DOI: 10.18420/BLOCKCHAIN2018_07
W. Prinz, Sabine Kolvenbach, R. Ruland
Certificates play an important role in education and in professional development in companies. Individual learning records become essential for people’s professional careers. It is therefore important that these records are stored in long-term available and tamper-proof ledgers. A blockchain records transactions in a verifiable and permanent way, therefore it is very suitable to store fingerprints of certificates or other educational items. Blockchain reveals forgery of certificates and it supports learning histories. In this paper, we present the Blockchain for Education platform as a practical solution for issuing, validating and sharing of certificates. At first, we describe the conceptual system overview and then we present in detail the platform implementation including management of certification authorities and certificates, smart contracts as well as services for certifiers, learners and third parties such as employers. Finally, we describe use cases and first evaluation results that we gathered from end user tests with certifiers and conclude with a discussion.
证书在教育和公司的专业发展中发挥着重要作用。个人学习记录对人们的职业生涯至关重要。因此,重要的是将这些记录存储在长期可用和防篡改的分类账中。区块链以可验证和永久的方式记录交易,因此非常适合存储证书或其他教育项目的指纹。区块链揭示了证书的伪造,并支持学习历史。在本文中,我们提出了区块链教育平台作为一个实用的解决方案,颁发,验证和共享证书。首先,我们描述了概念系统概述,然后详细介绍了平台的实现,包括认证机构和证书的管理、智能合约以及为认证机构、学习者和雇主等第三方提供的服务。最后,我们描述用例和我们从终端用户测试中收集到的第一个评估结果,并以讨论结束。
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引用次数: 158
Quasimodo 卡西莫多
IF 0.1 Pub Date : 2019-09-24 DOI: 10.1007/978-1-4302-0599-9_2
Brian Nielsen
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引用次数: 0
Personalisable Clinical Decision Support System 个性化临床决策支持系统
IF 0.1 Pub Date : 2019-01-01 DOI: 10.17863/CAM.48428
T. Müller, P. Lio’
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引用次数: 1
Distortion in Real-World Analytic Processes 现实世界分析过程中的失真
IF 0.1 Pub Date : 2019-01-01 DOI: 10.31219/osf.io/psz9y
Peter Kieseberg, Lukas Daniel Klausner, Andreas Holzinger
In discussions on the General Data Protection Regulation (GDPR), anonymisation and deletion are frequently mentioned as suitable technical and organisational methods (TOMs) for privacy protection. The major problem of distortion in machine learning environments, as well as related issues with respect to privacy, are rarely mentioned. The Big Data Analytics project addresses these issues.
在关于一般数据保护条例(GDPR)的讨论中,匿名和删除经常被提及为隐私保护的合适技术和组织方法(TOMs)。机器学习环境中的主要问题失真,以及与隐私相关的问题,很少被提及。大数据分析项目解决了这些问题。
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引用次数: 0
The UK National Grid Service 英国国家电网服务
IF 0.1 Pub Date : 2018-10-03 DOI: 10.1201/9781315218854-15
Katie Weeks
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引用次数: 8
APOPSIS: A Web-Based Platform for the Analysis of Structured Dialogues APOPSIS:一个基于网络的结构化对话分析平台
IF 0.1 Pub Date : 2017-10-23 DOI: 10.1007/978-3-319-69459-7_16
Elisjana Ymeralli, G. Flouris, T. Patkos, D. Plexousakis
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引用次数: 5
BASMATI - Cloud Brokerage Across Borders For Mobile Users And Applications 为移动用户和应用程序提供跨境云经纪服务
IF 0.1 Pub Date : 2017-09-27 DOI: 10.1007/978-3-319-79090-9_16
Patrizio Dazzi
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引用次数: 3
Coinblesk - A Real-time, Bitcoin-based Payment Approach and App Coinblesk-一种基于比特币的实时支付方法和应用程序
IF 0.1 Pub Date : 2017-07-01 DOI: 10.5167/uzh-145292
T. Bocek, S. Rafati, B. Rodrigues, B. Stiller
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引用次数: 2
Reliable Vehicular-to-Vehicular Connectivity 可靠的车对车连接
IF 0.1 Pub Date : 2017-04-01 DOI: 10.5167/UZH-145293
Lisa Kristiana, C. Schmitt, B. Stiller
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引用次数: 0
Adaptive Committees of Feature-Specific Classifiers for Image Classification 图像分类中特定特征分类器的自适应委员会
IF 0.1 Pub Date : 2016-12-28 DOI: 10.5220/0001968501130122
F. Falchi, T. Fagni, F. Sebastiani
We present a system for image classification based on an adaptive committee of five classifiers, each specialized on classifying images based on a single MPEG-7 feature. We test four different ways to set up such a committee, and obtain important accuracy improvements with respect to a baseline in which a single classifier, working an all five features at the same time, is employed.
我们提出了一个基于五个分类器自适应委员会的图像分类系统,每个分类器专门基于单个MPEG-7特征对图像进行分类。我们测试了四种不同的方法来建立这样的委员会,并获得了相对于基线的重要准确性改进,在基线中,使用单个分类器同时处理所有五个特征。
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引用次数: 2
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ERCIM News
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