Filters








88,857 Hits in 5.0 sec

A Cognitive Future Internet Architecture [chapter]

Marco Castrucci, Francesco Delli Priscoli, Antonio Pietrabissa, Vincenzo Suraci
2011 Lecture Notes in Computer Science  
This Chapter proposes a novel Cognitive Framework as reference architecture for the Future Internet (FI), which is based on so-called Cognitive Managers.  ...  according to a fully cognitive approach, availing of information coming from both the transport and the service/content layers of all networks.  ...  by the node to decide the network interface to be used for the transmission of the packets; • the Metadata handling storing functionality: all the heterogeneous information collected by the Service/content  ... 
doi:10.1007/978-3-642-20898-0_7 fatcat:ikcq4aq4rjcmninbfmzcy5e6dm

Multimedia Communications over Next Generation Wireless Networks

Liang Zhou, AthanasiosV Vasilakos, LaurenceT Yang, Naixue Xiong
2010 EURASIP Journal on Wireless Communications and Networking  
The third paper, "A dynamic utility adaptation framework for efficient multimedia service support in CDMA wireless networks" by K. Timotheos and S.  ...  Papavassiliou, introduces a novel generic framework that enables the dynamic adaptation of real-time multimedia  ...  Finally, special thanks go to Professor Luc Vandendorpe, Editor-in-Chief for approving and making this issue possible and to Professor Mariam Albert for her priceless guidance along the whole process of  ... 
doi:10.1155/2010/896041 fatcat:574ghbwkfrfo7czrjwlixx2fky

State of the Art: Embedded Middleware Platform for A Smart Home

Ehsan Ullah Warriach
2013 International Journal of Smart Home  
There are numerous projects carried out by industry and academic research groups to examine embedded middleware platforms for smart homes.  ...  In this paper, we present a review of the state of the art of pervasive middleware platforms for enabling a smart home.  ...  Acknowledgement The research is supported by the EU project Smart Homes for All, contract FP7-224332.  ... 
doi:10.14257/ijsh.2013.7.6.27 fatcat:drbhcdiuxneuxgii6gkw4x4gpe

HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities [article]

Jiayi Chen, Aidong Zhang
2021 arXiv   pre-print
To deal with task heterogeneity and promote fast within-task adaptions for each type of tasks, in this paper, we propose HetMAML, a task-heterogeneous model-agnostic meta-learning framework, which can  ...  adaptions for each type of tasks.  ...  Each embedding vector z (m) ∈ R F represents a piece of modality-specific information.  ... 
arXiv:2105.07889v3 fatcat:fventowfazg73eqf4zwhijffnu

Using XML Web services as a platform for remote access and control of embedded systems

Danilo Oklobdzija, Branislav Jevtovic
2008 Facta universitatis - series Electronics and Energetics  
This paper has pointed out the need for new technologies for integrating embedded devices in heterogeneous distributed networks, and outlines the perspectives opened by applaying service-oriented paradigm  ...  This makes presented framework suitable for use in many domains, independent of embedded devices physical realization or network characteristics.  ...  The components of the framework should provide the functionality of single embedded device, as well as functionality for integrating embedded systems in heterogeneous distributed networks and Internet.  ... 
doi:10.2298/fuee0801023o fatcat:jmtbmh7l7nayfbdgjox7mmefoa

A Generic Video Adaptation Framework Towards Content - And Context - Awareness In Future Networks

Willy Aubry, Dominique Dallet, Simon Desfarges, Bertrand Le Gal, Daniel Négru
2012 Zenodo  
In future works we aim at validating this framework by adding an h.264 codec in order to allow homogeneous and heterogeneous resizing for h.264 and MPEG-2.  ...  This feature is achieved by embedding video adaptation capabilities in network devices.  ... 
doi:10.5281/zenodo.52012 fatcat:umiqire5hrezde6vhwp7wqtfqu

DA-HGT: Domain Adaptive Heterogeneous Graph Transformer [article]

Tiancheng Huang, Ke Xu, Donglin Wang
2021 arXiv   pre-print
However, for given source and target heterogeneous networks, they generally contain shared and private node types, where private types bring an extra challenge for graph domain adaptation.  ...  Domain adaptation using graph networks learns label-discriminative and network-invariant node embeddings by sharing graph parameters.  ...  Heterogeneous and Homogeneous Information Network: A graph, denoted as G = (V, E, A, R), consists of a node set V and an edge set E.  ... 
arXiv:2012.05688v2 fatcat:tsqr3nj47bhuze3maemr25ncfe

MTHetGNN: A Heterogeneous Graph Embedding Framework for Multivariate Time Series Forecasting [article]

Yueyang Wang, Ziheng Duan, Yida Huang, Haoyan Xu, Jie Feng, Anni Ren
2021 arXiv   pre-print
Finally, a heterogeneous graph embedding module is adopted to handle the complex structural information generated by the two modules.  ...  Meanwhile, a temporal embedding module is introduced for time series features extraction, where involving convolutional neural network (CNN) filters with different perception scales.  ...  The heterogeneity and rich semantic information bring significant challenges for designing heterogeneous graph neural networks.  ... 
arXiv:2008.08617v4 fatcat:6mut5k4wkbhdpm66o4tjv6gyjm

Recent Advances in Heterogeneous Relation Learning for Recommendation [article]

Chao Huang
2021 arXiv   pre-print
Finally, we present an exploratory outlook to highlight several promising directions and opportunities in heterogeneous relational learning frameworks for recommendation.  ...  We discuss the learning approaches in each category, such as matrix factorization, attention mechanism and graph neural networks, for effectively distilling heterogeneous contextual information.  ...  information for embedding propagation.  ... 
arXiv:2110.03455v1 fatcat:fskj4qdsibfnxefklazdli3tgu

Representation Learning for Image-based Music Recommendation [article]

Chih-Chun Hsia, Kwei-Herng Lai, Yian Chen, Chuan-Ju Wang, Ming-Feng Tsai
2018 arXiv   pre-print
We propose a novel representation learning framework for image-based music recommendation that bridges the heterogeneity gap between music and image data; the proposed method is a key component for various  ...  Preliminary experiments show that for an image-to-song retrieval task, the proposed method retrieves relevant or conceptually similar songs for input images.  ...  Finally, the retrieval module yields the recommended songs for an input image given the representations from the CNN and network embedding modules.  ... 
arXiv:1808.09198v2 fatcat:tc6lg4gafnbodh6tjxqxt37w2e

Video Adaptation for Heterogeneous Environments

Chia-Wen Lin, Yap-Peng Tan, Anthony Vetro, Alex Kot, Ming-Ting Sun
2007 EURASIP Journal on Advances in Signal Processing  
However, users employ heterogeneous videoenabled terminals such as computers, TVs, mobile phones, and personal digital assistants with a wide range of computa-  ...  growth of compressed video streams and repositories which are accessible worldwide and the recent addition of new video-related standards, such as H.264/AVC, MPEG-7, and MPEG-21, have stimulated research for  ...  The paper "An attention-information-based spatial adaptation framework for browsing videos via mobile devices," by H.  ... 
doi:10.1155/2007/18578 fatcat:3ojqri25vzenxnbjsdjhofldmu

SOA-Based Framework for Home and Building Automation Systems (HBAS)

Thinagaran Perumal, Abd Rahman Ramli, Chui Yew Leong
2014 International Journal of Smart Home  
The proposed framework consists of several layers dedicated for services interwoven by Event-Condition-Action (ECA) oriented decision mechanism for managing heterogeneous embedded devices.  ...  These heterogeneous embedded devices characterized a building into a data intensive entity, generating numerous data and complex control information, brings a much heavy load to the HBAS.  ...  Conformance testing is important to analyze the behavior of heterogeneous embedded devices adapting with the developed SOA based framework specification.  ... 
doi:10.14257/ijsh.2014.8.5.18 fatcat:7tuwitcv2rbapmupomxryxgn2a

Embedded reconfigurable architectures

Stephan Wong, Luigi Carro, Stamatis Kavvadias, Georgios Keramidas, Francesco Papariello, Claudio Scordino, Roberto Giorgi, Stefanos Kaxiras
2012 Proceedings of the 2012 international conference on Compilers, architectures and synthesis for embedded systems - CASES '12  
Therefore, adaptable embedded systems have been proposed to deal with these negative effects by reconfiguring the critical sections of an embedded system.  ...  Finally, we will highlight an opensource project that incorporates many approaches for dynamic reconfiguration in both actual hardware and simulation accompanied by the necessary tools.  ...  This is furthermore complicated when considering multiple threads and the existence of an embedded operating system. • Adaptive and reconfigurable processor architectures This part will present an overview  ... 
doi:10.1145/2380403.2380444 dblp:conf/cases/WongCKKPSGK12 fatcat:pskhfnnwxfgdbfvdgwnldx3g4e

Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks [article]

Huixuan Chi, Yuying Wang, Qinfen Hao, Hong Xia
2021 arXiv   pre-print
Based on this, two novel tricks named GCN_res Framework and Embedding Usage are proposed by leveraging residual network and pre-trained embedding to improve baseline's test accuracy in different datasets  ...  Graph Convolutional Networks (GCNs) and subsequent variants have been proposed to solve tasks on graphs, especially node classification tasks.  ...  Nevertheless, it is clear that embedding information is crucial for heterogeneous graphs, and how to use this information rationally may become a future research direction. C.  ... 
arXiv:2105.08330v2 fatcat:jy6q53444zchhj62dxyfby5e7a

A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage [article]

Siyuan Chen, Jiahai Wang, Xin Du, Yanqing Hu
2020 arXiv   pre-print
User identity linkage across social networks is an essential problem for cross-network data mining.  ...  The information fusion component adopts a group of encoders and decoders to fuse heterogeneous information and generate discriminative node embeddings for preliminary matching.  ...  The resulting similarity matrices are fed into the information fusion component to obtain the node embeddings with heterogeneous information. The node embeddings are ready for preliminary comparison.  ... 
arXiv:2003.07122v1 fatcat:cviulmja4rebhm6oskcrzrjqdu
« Previous Showing results 1 — 15 out of 88,857 results