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An Incremental Learning Based Edge Caching System: From Modeling to Evaluation

Guangping Xu, Bo Tang, Liming Yuan, Yanbing Xue, Zan Gao, Salwa Mostafa, Chi Wan Sung
2020 IEEE Access  
The incremental learning algorithm is used to preserve valuable knowledge and to adapt to dynamic workloads faster.  ...  INDEX TERMS Edge caching, incremental learning, system dynamics.  ...  The incremental learning algorithm is used to preserve valuable knowledge and to adapt to dynamic workloads faster. • We implement our incremental learning based cache system prototype and evaluate it  ... 
doi:10.1109/access.2020.2965249 fatcat:zlwdgn35hrblblzyfbhgaz6i3e

Architectural Patterns for the Design of Federated Learning Systems [article]

Sin Kit Lo, Qinghua Lu, Liming Zhu, Hye-young Paik, Xiwei Xu, Chen Wang
2021 arXiv   pre-print
Federated learning has received fast-growing interests from academia and industry to tackle the challenges of data hungriness and privacy in machine learning.  ...  The patterns are associated to the particular state transitions in a federated learning model lifecycle, serving as a guidance for effective use of the patterns in the design of federated learning systems  ...  The compression of model parameters reduces the communication cost and network throughput for model exchanges. Drawbacks: • Computation cost.  ... 
arXiv:2101.02373v3 fatcat:c436s4ylt5hnhbvt46q5jkcj6y

Activity Recognition: Approaches, Practices and Trends [chapter]

Liming Chen, Ismail Khalil
2011 Activity Recognition in Pervasive Intelligent Environments  
It is intended to provide the necessary material to inform relevant research communities of the latest developments in this field in addition to providing a reference for researchers and system developers  ...  The chapter first reviews the existing approaches and algorithms that have been used for activity recognition in a number of related areas.  ...  Introduction With the advance and prevalence of low-cost low-power sensors, computing devices and wireless communication networks, pervasive computing has evolved from a vision [1] to an achievable and  ... 
doi:10.2991/978-94-91216-05-3_1 fatcat:jvu3pv3mivdm5aw4incyrcoy3q

Knowledge Transfer in Vision Recognition

Ying Lu, Lingkun Luo, Di Huang, Yunhong Wang, Liming Chen
2020 ACM Computing Surveys  
KNOWLEDGE TRANSFER FROM SOURCE DATA As we have discussed in section 2, raw data is low level information compared to pre-learned model.  ...  In [51] the authors propose the "Momentum Contrast(MoCo)", which learns a large and consistent dynamic dictionary for unsupervised feature learning with the contrastive loss.  ... 
doi:10.1145/3379344 fatcat:mk5kgolrjbbvlc6a6ar3r67rmu

The PIM architecture for wide-area multicast routing

S. Deering, D.L. Estrin, D. Farinacci, V. Jacobson, Ching-Gung Liu, Liming Wei
1996 IEEE/ACM Transactions on Networking  
) distribution treea, c) is not dependent on a specific unicast routing protocol, and d) uses soft-state mechanisms to adapt to underlying network conditions and group dynamics.  ...  The robustness, flexibility, and seating properties of this arddtecture make it well-suited to large heterogeneous intemetworks.  ...  distribution trees for heterogeneous applications.  ... 
doi:10.1109/90.490743 fatcat:zrfzgs33s5hw5bi3rgvekv4hne

The second life of ceramics: a new home in a lime environment [chapter]
English

Ioannis Karatasios, Konstantinos Alexiou, Noémi S. Müller, Peter M. Day, Vassilis Kilikoglou
2014 Craft and science: International perspectives on archaeological ceramics  
For their generosity and support, we are very grateful.  ...  Bauer, for providing pottery samples from his survey work in the Cuzco region and for including the collection of rock samples in his work programme; Melissa Chatfield and the Choquipukio Project, for  ...  Again, the actual high cost of imports makes them reliable signals of resource control and/or network connections, so audience members gain information about local political and status relations if they  ... 
doi:10.5339/uclq.2014.cas.ch29 fatcat:zw7oi6yebfeavgmfif73ulmvoa

An architecture for wide-area multicast routing

Stephen Deering, Deborah Estrin, Dino Farinacci, Van Jacobson, Ching-Gung Liu, Liming Wei
1994 Computer communication review  
Existing multica.st routing mechanisms were intended for use  ...  This is important for dynamic groups where hosts participate in spe. cial applications to advertise and learn of multicast addresses and their associated RP(s), For the remainder of this description we  ...  The robustness, flexibility, and scaling properties of this architecture make it well suited to large heterogeneous inter-networks.  ... 
doi:10.1145/190809.190326 fatcat:xf6xigi7mzhmncmwbj5qdyyms4

Sensor-Based Activity Recognition

Liming Chen, J. Hoey, C. D. Nugent, D. J. Cook, Zhiwen Yu
2012 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
We also discuss some promising directions for future research.  ...  However, there is a lack of high-level overview on this topic that can inform related communities of the research state of the art.  ...  Over the past decade sensor technologies, especially low-power, low-cost, high-capacity and miniaturized sensors, wired and wireless communication networks [11] [12] [13] , and data processing techniques  ... 
doi:10.1109/tsmcc.2012.2198883 fatcat:6s6uew7xhjglva2wikyulmduiy

An architecture for wide-area multicast routing

Stephen Deering, Deborah Estrin, Dino Farinacci, Van Jacobson, Ching-Gung Liu, Liming Wei
1994 Proceedings of the conference on Communications architectures, protocols and applications - SIGCOMM '94  
Existing multica.st routing mechanisms were intended for use  ...  This is important for dynamic groups where hosts participate in spe. cial applications to advertise and learn of multicast addresses and their associated RP(s), For the remainder of this description we  ...  The robustness, flexibility, and scaling properties of this architecture make it well suited to large heterogeneous inter-networks.  ... 
doi:10.1145/190314.190326 dblp:conf/sigcomm/DeeringEFJLW94 fatcat:qixzrlig4ngldo6fowuwkduoym

Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks

Courosh Mehanian, Mayoore Jaiswal, Charles Delahunt, Clay Thompson, Matt Horning, Liming Hu, Shawn McGuire, Travis Ostbye, Martha Mehanian, Ben Wilson, Cary Champlin, Earl Long (+12 others)
2017 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)  
The optical microscope remains a widely-used tool for diagnosis and quantitation of malaria.  ...  We outline a rich, global training set; describe the algorithm in detail; argue for patient-level performance metrics for the evaluation of automated diagnosis methods; and provide results for P. falciparum  ...  Microscopy continues to be regarded as a standard for malaria diagnosis and quantitation [3] , in part because it can be used to detect other infectious diseases [4] , has low incremental cost, is widely  ... 
doi:10.1109/iccvw.2017.22 dblp:conf/iccvw/MehanianJDTHHMO17 fatcat:j42gvuu3hvh27ig76nu63hsxy4

Continuous Integration, Delivery and Deployment: A Systematic Review on Approaches, Tools, Challenges and Practices

Mojtaba Shahin, Muhammad Ali Babar, Liming Zhu
2017 IEEE Access  
the gaps for future research.  ...  With the increasing interest in and literature on continuous practices, it is important to systematically review and synthesize the approaches, tools, challenges, and practices reported for adopting and  ...  to ensure there is no, or a low learning curve.  ... 
doi:10.1109/access.2017.2685629 fatcat:l6v4t4x55veclijcdirm3lobpi

Rapid Prototyping of Routing Protocols with Evolving Tuples [chapter]

Drew Stovall, Christine Julien
2008 Lecture Notes in Computer Science  
Developing software for dynamic pervasive computing networks can be an intimidating prospect.  ...  While much research has focused on developing and describing algorithms and protocols for these environments, the process of deploying these technologies is far from mature or streamlined.  ...  Acknowledgments The authors would like to thank the Center for Excellence in Distributed Global Environments for providing research facilities and the collaborative environment.  ... 
doi:10.1007/978-3-540-68642-2_24 fatcat:bnjf73osi5fqri7yxrrgtmr3te

End-to-End Entity Resolution for Big Data: A Survey [article]

Vassilis Christophides, Vasilis Efthymiou, Themis Palpanas, George Papadakis, Kostas Stefanidis
2020 arXiv   pre-print
One of the most important tasks for improving data quality and the reliability of data analytics results is Entity Resolution (ER).  ...  We present the basic concepts, processing steps and execution strategies that have been proposed by different communities, i.e., database, semantic Web and machine learning, in order to cope with the loose  ...  The basic constructs of deep learning methods for ER are Recurrent Neural Networks (RNNs) [59, 196] and word embeddings [13] . RNNs are neural networks with a dynamic temporal behavior.  ... 
arXiv:1905.06397v3 fatcat:rs2qoolz2jcppklriew5pjfefq

Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models [article]

Sibo Cheng and Jianhua Chen and Charitos Anastasiou and Panagiota Angeli and Omar K. Matar and Yi-Ke Guo and Christopher C. Pain and Rossella Arcucci
2022 arXiv   pre-print
Reduced-order modelling and low-dimensional surrogate models generated using machine learning algorithms have been widely applied in high-dimensional dynamical systems to improve the algorithmic efficiency  ...  We make use of local smooth surrogate functions which link the space of encoded system variables and the one of current observations to perform variational DA with a low computational cost.  ...  Once the LSTM NN is trained in the latent space, a low dimensional surrogate model can then be established for predicting the evolution of the dynamical system with a low computational cost.  ... 
arXiv:2204.03497v2 fatcat:bgtpr3eyxrf4hnl3i3tjusd5je

Hydrologic Extremes and Legacy Sources Can Override Efforts to Mitigate Nutrient and Sediment Losses at the Catchment Scale

Magdalena Bieroza, Lars Bergström, Barbro Ulén, Faruk Djodjic, Karin Tonderski, Anuschka Heeb, Jonas Svensson, Johan Malgeryd
2019 Journal of Environmental Quality  
Lime-filter drains showed a decrease in SS by 76% and total P by 80% and an increase in NO 3 -N by 45% compared with traditional drains, potentially indicating pollution swapping.  ...  Highfrequency (hourly) measurements with a wet-chemistry analyzer (total and reactive P) and optical sensor (NO 3 -N and SS) showed that the catchment is an abundant source of nutrients and sediments and  ...  For management, options for removing sediment from two-stage ditches and sedimentation ponds and putting them back on the fields should be considered as a low-cost and effective tool for closing the broken  ... 
doi:10.2134/jeq2019.02.0063 fatcat:sen7xi2n2fdidbzik3nmruaobi
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