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IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Carlos Diaz Motero ◽  
Juan Ramon Bermejo Higuera ◽  
Javier Bermejo Higuera ◽  
Juan Antonio Sicilia Montalvo ◽  
Nadia Gamez Gomez

2020 ◽  
pp. 357-370
Author(s):  
Martin Schleiff
Keyword(s):  

2019 ◽  
pp. 545-580
Author(s):  
Charles Edge ◽  
Rich Trouton
Keyword(s):  

Cloud Computing is a most widespread and popular form of computing, promising high reliability for customers and providers both at the same point of time for many fields, where cloud storage security is based on Authentication and Authorization in cloud computing. Data is uploaded into a cloud and stored in a datacenter, Authentication and authorization are the major concerns to access the data stored in cloud by users from the data center. Security is a major issue; these are mainly deal with identity and access management, prevention of data loss and malware attack control management. In this paper we majorly concentrated on Authentication and Authorization to cloud access, we focused on identity management mechanism as cloud security solution that provides directory services for application access management. We discussed the protocols that support authorization and allows the communication across applications with the help of tokens instead of credentials. We even concentrated on the different mechanisms which plays a major role in designing a secured cloud computing architecture from malicious intrusions and attacks, it is a step to verify the presence and functioning of the cloud customers and cloud providers through security mechanisms to protect from different risks, threats and attacks. In this paper we discussed different security Algorithms and Authentication architecture along with the proposed algorithm, where analysis is done along with the computational evaluation with output


Speech recognition systems has made remarkable progress in last ¬few decades such as Siri, Google assistant, Cortana. For improving the automation in services of all sectors including medical, agriculture, voice dialling, directory services, education, automobile etc., ASR systems must be built for regional languages as most of the Indian population in not familiar with English. Lots of work is done for English language but not for regional languages in India. Developing ASR and ASU systems will change the scenario of current service sector. There are many challenges in building ASR system, Noise reduction is a one of the challenging and still unsolved parameters which affects a lot on performance of any ASR system. Basically, three models required for building any ASR systems- Language model, acoustic model and pronunciation model. In this paper, discussed various parameters affecting on building ASR systems, development of ASR systems, Tools and Techniques used for building an ASR system and research on regional languages ASR system. Deep Neural network (DNN) provides a better way of recognising a speech and accuracy is high.


2019 ◽  
Vol 6 (19) ◽  
pp. 159627
Author(s):  
Yuzhe Tang ◽  
Kai Li ◽  
Katchaguy Areekijseree ◽  
Shuigeng Zhou ◽  
Liting Hu

2019 ◽  
Vol 214 ◽  
pp. 04038
Author(s):  
Hugo González Labrador ◽  
Georgios Alexandropoulos ◽  
Enrico Bocchi ◽  
Diogo Castro ◽  
Belinda Chan ◽  
...  

CERNBox is the CERN cloud storage hub. It allows synchronizing and sharing files on all major desktop and mobile platforms (Linux, Windows, MacOSX, Android, iOS) aiming to provide universal access and offline availability to any data stored in the CERN EOS infrastructure. With more than 16000 users registered in the system, CERNBox has responded to the high demand in our diverse community to an easily and accessible cloud storage solution that also provides integration with other CERN services for big science: visualization tools, interactive data analysis and real-time collaborative editing. Collaborative authoring of documents is now becoming standard practice with public cloud services, and within CERNBox we are looking into several options: from the collaborative editing of shared office documents with different solutions (Microsoft, OnlyOffice, Collabora) to integrating mark-down as well as LaTeX editors, to exploring the evolution of Jupyter Notebooks towards collaborative editing, where the latter leverages on the existing SWAN Physics analysis service. We report on our experience managing this technology and applicable use-cases, also in a broader scientific and research context and its future evolution with highlights on the current development status and future road map. In particular we will highlight the future move to an architecture based on micro services to easily adapt and evolve the service to the technology and usage evolution, notably to unify CERN home directory services.


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