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Simulation of Knowledge Transfer Process Model Between Universities: A Perspective of Cluster Innovation Network

Fang Wei, Xiao Limin
2018 Complexity  
The evident small-world network characteristic emerges during the dynamic evolution of universities cluster innovation network.  ...  Meanwhile, there exists a coupling evolution between the knowledge level of universities and the topology structure of the cluster innovation network.  ...  Polytechnical University (Grant no.  ... 
doi:10.1155/2018/5983531 fatcat:b5grhvufsbcpvjfp57hcalfotm

Network traffic characterisation using flow-based statistics

Petr Velan, Jana Medkova, Tomas Jirsik, Pavel Celeda
2016 NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium  
We propose a number of characteristics that can be collected from the networks and evaluate them on five different networks of Masaryk University.  ...  This paper presents a study of network characteristics, which can be used to describe the behaviour of a network.  ...  CONCLUSIONS We have presented an analysis of network traffic measured at five different campus networks at Masaryk University.  ... 
doi:10.1109/noms.2016.7502924 dblp:conf/noms/VelanMJC16 fatcat:qpl6oc2zj5em7in34sn2tflh5e

The fluidity of inventor networks

Michael Fritsch, Moritz Zoellner
2019 Journal of Technology Transfer  
We find a rather high level of 'fluidity', i.e., entry and exit of actors, as well as instability of their relationships over time.  ...  The aggregate characteristics of the regional networks are, however, quite robust even with high levels of micro-level fluidity.  ...  The model of Barabási & Albert (1999) assumes that network relationships are stable over time so that all actors that are part of a network at a certain point in time remain in the network in subsequent  ... 
doi:10.1007/s10961-019-09726-z fatcat:t2e2axtrsvbrzpbxiw4evonbsy

The Link Between Statistical Learning Theory and Econometrics: Applications in Economics, Finance, and Marketing

Esfandiar Maasoumi, Marcelo C. Medeiros
2010 Econometric Reviews  
It is a broad area which includes neural networks, regression-trees, nonparametric statistics and sieve approximation, boosting, mixtures of models, computational complexity, computational statistics,  ...  Statistical Learning refers to statistical aspects of automated extraction of regularities (structure) in datasets.  ...  Acknowledgments The authors wish to thank the contributors to this issue for sharing their innovations and superb technical skills in a timely manner, and for participating in the rigorous review process  ... 
doi:10.1080/07474938.2010.481544 fatcat:jx5tev7ryrb7lhvb6v5boh23ii

A performance benchmark for NetFlow data analysis on distributed stream processing systems

Milan Cermak, Daniel Tovarnak, Martin Lastovicka, Pavel Celeda
2016 NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium  
Modern distributed stream processing systems can potentially be applied to real time network flow processing.  ...  Our benchmark, unlike any other, enables the performance of small structured messages to be processed on any stream processing system.  ...  ACKNOWLEDGEMENT This research was supported by the Technology Agency of the Czech Republic under No. TA04010062 Technology for processing and analysis of network data in big data concept.  ... 
doi:10.1109/noms.2016.7502926 dblp:conf/noms/CermakTLC16 fatcat:ztmv4mqd4jeyrnrglnbofy3fy4

Building a Shared Resource HPC Center Across University Schools and Institutes: A Case Study [article]

Glen MacLachlan, Jason Hurlburt, Marco Suarez, Kai Leung Wong, William Burke, Terrence Lewis, Andrew Gallo, Jaroslav Flidr, Raoul Gabiam, Janis Nicholas, Brian Ensor
2020 arXiv   pre-print
We discuss the challenges and obstacles encountered planning and establishing a first-time high performance computing center at the university level and present a set of solutions that will be useful for  ...  any university developing a fledgling high performance computing center.  ...  We gratefully acknowledge Sean Connolly and Warren Santner who did much of the work to pioneer the implementation of a HPCC at The George Washington University. ADDITIONAL AUTHORS  ... 
arXiv:2003.13629v2 fatcat:6iq5biyqdbgsdhks4zbgc4ig4a

Network Performance Through Virtual Local Area Network (VLAN) Implementation & Enforcement On Network Security For Enterprise

Yakubu Ajiji Makeri, Giuseppe T. Cirella, Francisco Javier Galas, Hamid Mohsin Jadah, Adetayo Olaniyi Adeniran
2021 International journal of advanced networking and applications  
The main purpose of the network ability in the universities is to support learning, teaching, research and sharing of information.  ...  The aim of this paper was to enhance an enterprise network performance through VLAN implementation by simulating an existing LAN and rectify LAN using VLAN at, in two different scenarios.  ...  the ethernet delay showed the performance of the time delay of the global statistics for ULB enterprise network.  ... 
doi:10.35444/ijana.2021.12604 fatcat:wgr62rftozc53ipsp5sk2ix2cu

Universal representations:The missing link between faces, text, planktons, and cat breeds [article]

Hakan Bilen, Andrea Vedaldi
2017 arXiv   pre-print
The human visual system, in stark contrast, learns a universal representation for vision in the early life of an individual.  ...  With the advent of large labelled datasets and high-capacity models, the performance of machine vision systems has been improving rapidly.  ...  Universal representations seem to be within the grasp of current technology, at least for a wide array of real-world problems.  ... 
arXiv:1701.07275v1 fatcat:bkcq6bypd5fajj6zl5hwud2wru

LocalNorm: Robust Image Classification through Dynamically Regularized Normalization [article]

Bojian Yin, Siebren Schaafsma, Henk Corporaal, H. Steven Scholte, Sander M. Bohte
2019 arXiv   pre-print
In computational terms, LocalNorm adds negligible training cost and little or no cost at inference time, and can be applied to already-trained networks in a straightforward manner.  ...  Here, we describe a variant of Batch Normalization, LocalNorm, that regularizes the normalization layer in the spirit of Dropout while dynamically adapting to the local image intensity and contrast at  ...  To enable the evaluation of small images one-at-a-time, we demonstrated the use or image rotation as a form of data augmentation to sufficiently improve the summary statistics.  ... 
arXiv:1902.06550v3 fatcat:ahtb4yoqhzerfjwmcmz5iwd3la

Machine-to-machine communications: Technologies and challenges

Kwang-Cheng Chen, Shao-Yu Lien
2014 Ad hoc networks  
Related technologies toward practical realization are explored to complete fundamental understanding and engineering knowledge of this new communication and networking technology front.  ...  We present the technological scenario of M2M communications consisting of wireless infrastructure to cloud, and machine swarm of tremendous devices.  ...  Statistical inference: One major issue in spectrum sensing is the time-lagged information of spectrum availability at earlier time slot of measurement, rather than the time slot in transmission.  ... 
doi:10.1016/j.adhoc.2013.03.007 fatcat:fsd6zefdq5fotbm5vhpozc4wci

The Impact of Virtualization on Network Performance of Amazon EC2 Data Center

Guohui Wang, T. S. Eugene Ng
2010 2010 Proceedings IEEE INFOCOM  
In this paper, we present a measurement study to characterize the impact of virtualization on the networking performance of the Amazon Elastic Cloud Computing (EC2) data center.  ...  However, few studies have investigated the impact of machine virtualization in the cloud on networking performance.  ...  Views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of NSF, Microsoft Corp., the  ... 
doi:10.1109/infcom.2010.5461931 dblp:conf/infocom/WangN10 fatcat:gs22ltw4njbrhdjx5wk2lbnwxy

Design of Teaching Video Resource Management System in Colleges and Universities based on Microtechnology

Qingbo Yan, Chi-Hua Chen
2021 Security and Communication Networks  
Through the construction of microtechnology + NAS network storage, the video network storage is realized, and the network sharing efficiency is improved.  ...  In order to improve the storage and sharing of teaching video resource system in colleges and universities, this paper designs a teaching video resource management system based on micro grid technology  ...  Teachers can use a classroom for micro lesson video recording at any time, and schools can also organize multiple teachers to record micro lesson video at the same time. e organization method is very flexible  ... 
doi:10.1155/2021/9914048 fatcat:zjxdohtm3va4vmzppksdg4crma

Longitudinal Peer Network Data in Higher Education [chapter]

Jasperina Brouwer, Ellen Jansen, Andreas Flache, Adriaan Hofman
2018 Theory and Method in Higher Education Research  
This chapter employs a longitudinal social network approach to research small group teaching in higher education.  ...  Longitudinal social network analyses can provide in-depth understanding of the social dynamics in small groups.  ...  We made use of this valuable information while writing this chapter.  ... 
doi:10.1108/s2056-375220180000004010 fatcat:bawaqe5u7nfklnf6yme6625u24

Small and Minority Farmers' Knowledge and Resource Sharing Networks, and Farm Sales: Findings from Communities in Tennessee, Maryland, and Delaware

Aditya Khanal, Fisseha Tegegne, Lan Li, Stephan Goetz, Yicheol Han, Stephan Tubene, Andy Wetherill
2020 Journal of Agriculture, Food Systems, and Community Development  
This study examines small and minority farmers' networks using a primary survey 150 Volume 9, Issue 3 / Spring 2020 in three farming communities.  ...  We emphasize networks related to production, marketing, and resource-sharing activities of 127 farmers (nodes) in Tennessee, 46 in Maryland, and 23 in Delaware, and compute three different measures of  ...  At the same time, SNA has not been used widely to assess the performance of individual farms, especially in the context of small, minority-operated farms in the US.  ... 
doi:10.5304/jafscd.2020.093.012 fatcat:ba765w6tpjfrdcgk3b3iykaofy

Centralized vs. Distributed Databases. Case Study

Nicoleta Magdalena Iacob, Mirela Liliana Moise
2015 Academic Journal of Economic Studies  
In addition, in this paper we have presented a case study, e-learning portal performance optimization by using distributed databases technology.  ...  In the stage of development in which institutions have branches distributed over a wide geographic area, distributed database systems become more appropriate to use, because they offer a higher degree  ...  in case of write operation in a replicated form of distributed database; • the data shared between sites over networks are vulnerable to attack.  ... 
doaj:59737a924d32491ab4346a2a431918c5 fatcat:ivoyesbpebcl5g6lvculnlwmny
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