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V2V: Vector Embedding of a Graph and Applications
2018
2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
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"V2V: Vector Abstract-We present V2V, a method for embedding each vertex in a graph as a vector in a fixed dimensional space. ...
We present V2V, a method for embedding each vertex in a graph as a vector in a fixed dimensional space. ...
V2V stands for a class of approaches which learn a vector representation of a vertex with the help of random walks in the network. • A study on the application of V2V in various applications, including ...
doi:10.1109/ipdpsw.2018.00182
dblp:conf/ipps/NguyenT18
fatcat:5ipfrsafqfautk3amd7nmhly2q
Multipoint channel charting-based radio resource management for V2V communications
2020
EURASIP Journal on Wireless Communications and Networking
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In addition to V2I CSI, the network acquires V2V channel quality information for vehicles in the training set and develops a link quality predictor. ...
Combining logical distances given by channel charting with V2V measurements, the network trains a function to predict the quality of a direct V2V communication link from observed V2I communication signals ...
Availability of data and materials Data sharing not applicable to this article as no data sets were generated or analyzed during the current study. ...
doi:10.1186/s13638-020-01723-3
fatcat:ejgtn6ikq5gqnpdsfx44xujscu
Simulating Communication in a Service-Oriented Architecture for V2V Networks
[chapter]
2009
Lecture Notes in Computer Science
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A prototypical application was implemented, which was used to demonstrate the feasibility of the approach presented through experimental results. ...
A two-layered architecture was specified on the basis of the requirements for our simulation framework resulting in the specification of a multi-agent system formed of vehicle entities that are able to ...
Preliminary Results Preliminary results are plotted in the graph of Figure 6 . The graph shows how much of the network is covered by the V2V communication mechanism over time. ...
doi:10.1007/978-3-642-04686-5_2
fatcat:ac5skkljw5gl3n3ougwjuot2qy
Formal Verification of a Vehicle-to-Vehicle (V2V) Messaging System
[chapter]
2018
Lecture Notes in Computer Science
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Vehicle-to-Vehicle (V2V) communications is a "connected vehicles" standard that will likely be mandated in the U.S. within the coming decade. ...
V2V, in which automobiles broadcast to one another, promises improved safety by providing collision warnings, but it also poses a security risk. ...
We thank Arthur Carter at NHTSA and Thomas Bergman of Battelle for their discussions and guidance. ...
doi:10.1007/978-3-319-96142-2_25
fatcat:3vxaenes2zco7o7cjxdcg32pwe
VANET routing protocol for V2V implementation: A suitable solution for developing countries
2017
Cogent Engineering
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Then the best V2V routing protocol based on the paper's Key Performance Indicators and point of view will be used to compare between two different architectures, one with V2V + RSU implementation and the ...
Now ITS topics are standing on a solid ground. Many European countries and USA started to implement and use them. ...
a broader set of safety and mobility applications. and these communications will combined with GSM/GPRS infrastructure. ...
doi:10.1080/23311916.2017.1362802
fatcat:lhrj6aenf5ghzjgeyfmnanzw5e
Multi Agent Assisted Safety Information Dissemination Scheme for V2V Communication in VANETs: Intelligent Agent Approach
2021
International Journal of Intelligent Systems and Applications
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It is a technique of transmitting the information at scheduled intervals or during road hazards by detecting the events using onboard system and interfaces. ...
The safety information dissemination plays a vital role in the VANET communication. ...
the topology using distance vector kind of algorithms. ...
doi:10.5815/ijisa.2021.04.05
fatcat:67c55wa4rjaobjod4y5zxdeb4y
VANETs Meet Autonomous Vehicles: A Multimodal 3D Environment Learning Approach
[article]
2017
arXiv
pre-print
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In this paper, we design a multimodal framework for object detection, recognition and mapping based on the fusion of stereo camera frames, point cloud Velodyne Lidar scans, and Vehicle-to-Vehicle (V2V) ...
We present a joint pixel to point cloud and pixel to V2V correspondences of objects in frames from the Kitti Vision Benchmark Suite by using a semi-supervised manifold alignment approach to achieve camera-Lidar ...
However, it does not offer any V2V type of message [11] , [15] which offers various types of safety applications operating on a control channel of its 7 available channels operating over a dedicated ...
arXiv:1705.08624v1
fatcat:p54zpwis2fh5jjli2kmfgucgw4
Recognition of Polymorphic Patterns in Parameterized Graphs for 3D Building Reconstruction
[chapter]
1998
Computing Supplement
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Parameterized graphs (short: p-graphs) are extensions of undirected graphs by parameter vectors at the nodes and edges. ...
A bottom-up algorithm for p-subgraph isomorphism computation according to a given search graph and a template graph will be described. ...
However, their embedding into the application reduces computational cost signi cantly. ...
doi:10.1007/978-3-7091-6487-7_2
dblp:conf/gbrpr/EnglertCS97
fatcat:shojunaytfeufjdqgir6dxsub4
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks
[article]
2018
arXiv
pre-print
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The MEGA model uses normalized relevance or similarity measures that are derived from a meta-graph and its embedded meta-paths between nodes simultaneously, and then leverages tensor decomposition method ...
Meta-graph is currently the most powerful tool for similarity search on heterogeneous information networks,where a meta-graph is a composition of meta-paths that captures the complex structural information ...
However, none of these frameworks can be directly applicable to learn jointly embedding with a partial symmetric tensor and a symmetric matrix, and also do not leverage meta-path and meta-structure information ...
arXiv:1809.04110v1
fatcat:l6wd5ytqizamvgpsgi754yeorm
Bridge to Answer: Structure-aware Graph Interaction Network for Video Question Answering
[article]
2021
arXiv
pre-print
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This paper presents a novel method, termed Bridge to Answer, to infer correct answers for questions about a given video by leveraging adequate graph interactions of heterogeneous crossmodal graphs. ...
Extensive experiments prove that the proposed method provides effective and superior performance than state-of-the-art methods on several benchmarks. ...
The embedded vectors are passed through a Bidirectional Gated Recurrent Unit (BiGRU) to establish the context dependency between words and are projected into the d -dimensions feature space. ...
arXiv:2104.14085v1
fatcat:qguxecsdajbnpo5gds2i2eraii
Traffic Incident Detection Based on Dynamic Graph Embedding in Vehicular Edge Computing
2021
Applied Sciences
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A dynamic graph embedding model based on the graph similarity is proposed to cluster the graphs for anomaly detection. ...
To address this issue, we present a new idea for anomaly detection based on dynamic graph embedding, in which the dynamic graph comprises the multiple time series and their correlation in each time interval ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app11135861
fatcat:mgae6vwl4bfypdksctmwwdo2ma
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks
[article]
2019
arXiv
pre-print
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In this paper, we discuss the key motivations and roadblocks of using deep learning for wireless resource allocation with application to vehicular networks. ...
The traditional wisdom is to explicitly formulate resource allocation as an optimization problem and then exploit mathematical programming to solve the problem to a certain level of optimality. ...
Then graph embedding is used to learn the vector representation of each node based on topology information. The output feature vector is then input to a DNN for link scheduling. ...
arXiv:1907.03289v2
fatcat:stvlo3uhqnde3icvovjsrggdwu
Multipoint Channel Charting-Based Radio Resource Management for V2V Communications
2020
Preserved Fulltext
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In addition to V2I CSI, the network acquires V2V channel quality information for vehicles in the training set and develops a link quality predictor. ...
Combining logical distances given by channel charting with V2V measurements, the network trains a function to predict the quality of a direct V2V communication link from observed V2I communication signals ...
Acknowledgements Not applicable. ...
doi:10.3929/ethz-b-000452594
fatcat:gxa4yzurtrhrrbgu6vhsaa22oi
VeSoNet: Traffic-Aware Content Caching for Vehicular Social Networks based on Path Planning and Deep Reinforcement Learning
[article]
2021
arXiv
pre-print
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This scheme uses graph embeddings in which the vehicles are represented by a set of low-dimension vectors (vehicle2vec) to store information about previously consumed content. ...
Vehicular social networking is an emerging application of the promising Internet of Vehicles (IoV) which aims to achieve the seamless integration of vehicular networks and social networks. ...
ACKNOWLEDGMENT This work was supported by the National Natural Science Foundation of China under Grant 61872038. ...
arXiv:2111.05567v1
fatcat:tc2mq7q7kzgb3o4m4wq3qrts6a
Integration of V2V-AEB system with wearable cardiac monitoring system and reduction of V2V-AEB system time constraints
2017
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A special gratitude to my loving and supporting parents Rashmi Bhatnagar and Rakesh Bhatnagar who taught me the meaning of life and never giving up attitude. ...
I am fortunate to have such a great loving parents and family who have groomed me and helped me at every step of life. iv ACKNOWLEDGMENTS I want to express my gratitude to my supervisor Dr. ...
It also provides a framework for a V2V and the V2I technologies. Thus empowering a user to develop, design and evaluate various V2V applications. ...
doi:10.7912/c2vh3h
fatcat:5ga6dd47urexbi53k4gmroz2ya
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