14,185 Hits in 2.7 sec

A City-Wide Real-Time Traffic Management System: Enabling Crowdsensing in Social Internet of Vehicles

Xiaojie Wang, Zhaolong Ning, Xiping Hu, Edith C.-H. Ngai, Lei Wang, Bin Hu, Ricky Y. K. Kwok
2018 IEEE Communications Magazine  
Finally we discuss scalable computation and implementation of machine learning methods in large scale networks.  ...  , and smart energy systems.  ...  Ensemble Learning Another scalability concern arises from applying machine learning methods to large scale networked systems.  ... 
doi:10.1109/mcom.2018.1701065 fatcat:cr4obkbrznbhxgsnwzjpci33bq

An Agent-Based Intelligent HCI Information System in Mixed Reality [article]

Hamed Alqahtani, Charles Z. Liu, Manolya Kavakli-Thorne, Yuzhi Kang
2019 arXiv   pre-print
pattern analysis, scalable learning, data-aware confidential computing.  ...  In order to implement target awareness system, we propose the use of non-parameter stochastic adaptive learning and a kernel learning strategy for improving the adaptivity of the recognition.  ...  A scalable learning strategy is designed to simulate the process of knowledge broadening and applied to perform scalable management using a dispersed structure.  ... 
arXiv:1911.02726v1 fatcat:al7kbqooinhr3pshes7tytlgse

A Wireless LAN-Based Robust and Scalable Virtual Laboratory for E-Learning [chapter]

Yongkai Fan, Jun Lin, Tianze Sun, Wenju Yuan
2006 Lecture Notes in Computer Science  
Wireless LAN based lab resources make this virtual laboratory scalable and redundancy management server makes it robust  ...  E-learning provides a solution to meet the challenge of enrolments increasing.  ...  Introduction E-learning is one type of education by which the instructor and students can be geographically dispersed and technology is used to facilitate education.  ... 
doi:10.1007/11736639_42 fatcat:b3ock3msh5effkyfvc2el62qi4

Towards A Mappable Database Of Emergent Gestural Meaning

Doug Van Nort, Ian Jarvis, Michael Palumbo
2016 Zenodo  
dimensions, and expanded notions of the instrumental system as environmental performative agent.  ...  Our system design is informed by the philosophical and aesthestic intentions of the laboratory context within which it is designed, focused on distribution of performance activity across temporal and spatial  ...  The flexibility in design of our approach is oriented towards future linkage with other software for analysis such as Python for machine learning and R for temporal and cross-correlation analysis.  ... 
doi:10.5281/zenodo.1176092 fatcat:tbrecdf3arb2docoeg2iwtrty4

An Agent-Aware Computing Based Mixed Reality Information System

Charles Z. Liu, Manolya Kavakli
2017 International Journal of Virtual Reality  
by the applying agent- aware computing based scheme into an implementation of the collaborative information system for mixed real- ity.  ...  The corresponding sys- tematic scheme is presented in the views of functional- ity, modules and system workflow and discussed in de- sign, implementation, and system synthesis.  ...  A scalable learning strategy has been implemented for dispersed knowledge management. Both data scalability and knowledge usability are considered.  ... 
doi:10.20870/ijvr.2017.17.3.2896 fatcat:2rywh3qz3fbxfiogjkdeiao35m


Mahendra Kumar Ahirwar .
2014 International Journal of Research in Engineering and Technology  
For anomaly detection so many techniques are developed and these techniques are broadly divided into three categories: -statistical, data mining based and machine learning based anomaly detection technique  ...  In this survey paper we provide overview of some anomaly detection techniques which are discovered recently for the tracing data.  ...  and unsupervised cloud systems Required specific knowledge domain for anomaly detection  ... 
doi:10.15623/ijret.2014.0309030 fatcat:pcty2mkcxbcijdczokrm7b53xu


Julien Loudet, Iulian Sandu-Popa, Luc Bouganim
2019 Proceedings of the VLDB Endowment  
Personal Data Management Systems (PDMS) advance at a rapid pace allowing us to integrate all our personal data in a single place and use it for our benefit and for the benefit of the community.  ...  The demonstration platform graphically illustrates the query execution in details, showing that DISPERS leads to maximal system security with low and scalable overhead.  ...  Knowledge dispersion. No single (or few) node(s) should store a significant amount of sensitive data, unless it owns that data.  ... 
doi:10.14778/3352063.3352091 fatcat:ghjbdprgczcijkljyvflpc7foq

Author index

2013 2013 IEEE International Conference on Cluster Computing (CLUSTER)  
High-Performance and Cost-Effective Distributed Storage Systems with Information Dispersal Algorithms Devine, Neal K.  ...  Active-Learning-Based Surrogate Models for Empirical Performance Tuning Gropp, William Grunzke, Richard User-friendly Metaworkflows in Quantum Chemistry Guo, Kai I/O Scheduling for Solid State  ... 
doi:10.1109/cluster.2013.6702604 fatcat:cxctjrwnfjahhosdn7afzf6dla

Sparse Identification for Nonlinear Optical communication systems

Mariia Sorokina, Stylianos Sygletos, Sergei Turitsyn
2017 2017 19th International Conference on Transparent Optical Networks (ICTON)  
It is adaptive, i.e. it does not require a knowledge of system parameters, and it is scalable to different power levels and modulation formats.  ...  The method can be straightforwardly expanded to multi-channel systems and to any other type of nonlinear impairment.  ...  Ferreira is acknowledged for useful discussions.  ... 
doi:10.1109/icton.2017.8024969 fatcat:4ykn323ebzaa3iknzg6dbwj7pe

A Systematic State-of-The-Art Analysis of Multi-Agent Intrusion Detection

I. A. Saeed, A. Selamat, M. Rohani, O. Krejcar, J. Chaudhry
2020 IEEE Access  
We are also grateful for the support of Ph.D. student Sebastien Mambou in for consultations regarding application aspects.  ...  This characteristic is interrelated to scalability; a scalable system is a load balancing necessarily.  ...  The clustering agent that produces clusters with high dispersion is considered less effective than the clustering agent that produces clusters with low dispersion of elements.  ... 
doi:10.1109/access.2020.3027463 fatcat:vaudgewisnhihghc4f3xa3otby

High-performance computing enables simulations to transform education

Dan M. Davis, Thomas D. Gottschalk, Laurel K. Davis
2007 2007 Winter Simulation Conference  
Surveying and reporting on work in computer-aided education, this paper will discuss the pedagogical imperatives for group learning, risk management and "hero teacher" surrogates, all being optimally delivered  ...  Collaborative learning using scalable computing can help to address this liability in collaborative learning.  ...  COLLABORATIVE LEARNING There is good evidence that collaborative learning environments are an effective way to facilitate and intensify engagement with knowledge.  ... 
doi:10.1109/wsc.2007.4419873 dblp:conf/wsc/DavisGD07 fatcat:fhne65hq2jfidp2knpe5j7zkwy

Digital Competence Development as Strategic Learning [chapter]

Kalle Mäkinen, Ari Alamäki
2005 E-Training Practices for Professional Organizations  
What aspects should management stress in corporatewide business system implementation with digital solutions?  ...  This paper reviews a successful digital competence development solution that was used to implement a business system in a large international organization.  ...  Applying knowledge brings more value for business purposes and needs.  ... 
doi:10.1007/0-387-23572-8_19 dblp:conf/ifip3/MakinenA03 fatcat:wya2hmsigzayrjodqgtxdfml3y

Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation [article]

Toshiaki Koike-Akino, Ye Wang, David S. Millar, Keisuke Kojima, Kieran Parsons
2019 arXiv   pre-print
Recently, data-driven approaches motivated by modern deep learning have been applied to optical communications in place of traditional model-based counterparts.  ...  The application of deep neural networks (DNN) allows flexible statistical analysis of complicated fiber-optic systems without relying on any specific physical models.  ...  For more practical bitinterleaved coded modulation (BICM) systems, it was found in [20] that binary cross-entropy (BCE) loss can improve accuracy and scalability to high-order quadrature-amplitude modulation  ... 
arXiv:1911.10131v1 fatcat:7ghe4qetcbejphjkftl54l3zeq

Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions [article]

Latif U. Khan, Walid Saad, Dusit Niyato, Zhu Han, Choong Seon Hong
2021 arXiv   pre-print
Digital twins use a virtual representation of the 6G physical system along with the associated algorithms (e.g., machine learning, optimization), communication technologies (e.g., millimeter-wave and terahertz  ...  Such a new framework for 6G can be based on digital twins.  ...  To the best of our knowledge, this is the first work to study digital-twin-enabled 6G systems.  ... 
arXiv:2102.12169v2 fatcat:bb4x22q2djf6bdvtlvy3wx46z4

The Effects of Cloud Computing Technology on E-Learning: Empirical Study

Saeed Rouhani
2018 Robotics & Automation Engineering Journal  
This study grants the E-learning Practitioners and researchers, proved leads, to direct and implement their e-learning systems and platforms on cloud computing infrastructure to achieve identified qualities  ...  In this study, the impact of cloud computing on e-learning as an alternative technology for the traditional Web 2, analyzed.  ...  A chart is used for comparing the scalability of these two systems.  ... 
doi:10.19080/raej.2018.02.555596 fatcat:nef7icska5exbjd2m6vsuhizk4
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