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Density-based Community Detection/Optimization [article]

Rui Portocarrero Sarmento
2019 arXiv   pre-print
Modularity-based algorithms used for community detection have been increasing in recent years.  ...  We introduce a metric we call ADC (Average Density per Community); we use this metric to prove our optimization provides improvements to the community density obtained with benchmark algorithms.  ...  simulation Modularity Results Networks Label Propagation Algorithm Our algorithm Toynet1 -0.004 0.202 Toynet2 0 0.252 Toynet3 0.017 0.253 Available Code at  ... 
arXiv:1904.12593v1 fatcat:ax6zeb5ggzgjdcltv2pwktjim4

Optical Methods for Marine Litter Detection (OPTIMAL) - Final Report

Victor Martinez-Vicente, Lauren Biermann, Aser Mata
2020 Zenodo  
International community development.  ...  Because of their low density, with respect to water, they are close to the surface or on the surface of the water (Kooi et al.,2016).  ... 
doi:10.5281/zenodo.3748796 fatcat:iyqbr5kuavbfreqxswwe7u3wie


N. S. Meera, M. Charitha Devi
INTRODUCTION Recent explorations of the human gut microbiota suggest that perturbations of microbial communities may increase predisposition to different disease phenotypes.  ...  Isolation, Identification and Screening of bacterio cinogenic Lactobacillus fermentum The isolated Lactobacillus strains were identified based on colony morphology, cell morphology and biochemical tests  ... 
doi:10.36106/paripex/3908023 fatcat:b2c3gxh5efhqpcrqlwpzasc6xm

HOS-based noise models for signal detection optimization in non-Gaussian environments

A. Tesei, C.S. Regazzoni
Proceedings of 1995 IEEE International Symposium on Information Theory  
by the Commission of European Community in the context of MAST-I SNECOW Project An extensive test phase was carried out.  ...  det for low SNR values, the selected binary statistical test consists in a Locally Optimum Detector (LOD) [2] , whose test rule is computed on the basis of new models of noise univariate probability density  ... 
doi:10.1109/isit.1995.535811 fatcat:ho5dv65uqbchjc7vnovcnwxlku

A Novel Approach using Parallel Ant Colony Optimization Algorithm for Detecting Routing Path based on Cluster Head in Wireless Sensor Network

K. V. Janaki Raam, K. Rajkumar
2015 Indian Journal of Science and Technology  
To route data in efficient manner detecting optimal path for routing is better solution.  ...  Rotating the cluster head while implementing algorithm based on friss free space propagation model, increases the lifetime of the network. This proposed system is developed using Java.  ...  Using of single ant for detecting optimal path will reduce overall efficiency of the system because for detecting optimal path it will consume more time.  ... 
doi:10.17485/ijst/2015/v8i16/61986 fatcat:7enk2v32nzdnvjnmy2kj5rnmvm

Subspace Optimization in Centralized Noncoherent MIMO Radar

Thomas G. Pratt, Yih-Fang Huang, Zhenhua Gong, Mike Lemmon
2011 IEEE Transactions on Aerospace and Electronic Systems  
Detection optimization for the SC-MIMO system in a Neyman Pearson sense is found to be equivalent to selecting the subspace that maximizes the Frobenius norm of the corresponding channel matrix.  ...  In the former case, metrics are based upon instantaneous channel estimates, whereas in the latter case, average channel estimates are used.  ...  Target Detection Optimization in Centralized MIMO Radar We present formulations based on Neyman-Pearson detection for the centralized detection approach.  ... 
doi:10.1109/taes.2011.5751254 fatcat:l6ur2nyvivhjvp43huhpuq4wy4

Robust Receiver Design for Non-orthogonal Multiple Access [article]

Kun Wang
2018 arXiv   pre-print
A dominant NOMA scheme is based on power optimization, in which decoding of target user is assumed to be perfect.  ...  Non-orthogonal multiple access (NOMA) has been proposed for massive connectivity in future generations of wireless communications.  ...  This kind of optimization might be performed alternately between power optimization and detection optimization.  ... 
arXiv:1810.09003v1 fatcat:nmqyv3zxwne6pk6fy6wv4xtiyy

Bayesian network detection using absorbing Markov chains

Steven T. Smith, Edward K. Kao, Kenneth D. Senne, Garrett Bernstein
2014 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
A Bayesian framework for network detection is developed based on random walks on graphs.  ...  The network detection problem for a graph G of order N results in 2 N -ary multiple hypothesis test over the vertex space V (G), and, when detection optimality is considered, an optimal test involves partitioning  ...  This establishes the detection optimality of harmonic space-time threat propagation. 1 Fig. 2 . 12 r fg = 2 STTP, r fg = 1.1 BFS, r fg = 2 BFS, r fg = 1.1 SPEC, r fg = 2 SPEC, r fg = Detection ROC curves  ... 
doi:10.1109/icassp.2014.6854238 dblp:conf/icassp/SmithKSB14 fatcat:wt6ofc4d4rblfkpuhs52wfhdza

A Novel Genetic Algorithm for Overlapping Community Detection [chapter]

Yanan Cai, Chuan Shi, Yuxiao Dong, Qing Ke, Bin Wu
2011 Lecture Notes in Computer Science  
In this paper, we propose a novel algorithm to discover overlapping communities. Different from conventional algorithms based on node clustering, our algorithm is based on edge clustering.  ...  There is a surge of community detection on complex network analysis in recent years, since communities often play special roles in the network systems.  ...  Conclusion In this paper, we propose a genetic algorithm for overlapping community detection, optimizing partition density D.  ... 
doi:10.1007/978-3-642-25853-4_8 fatcat:3g5ko26ttjejbllxtm4jkvxhiy

Discovering Communities from Social Networks: Methodologies and Applications [chapter]

Bo Yang, Dayou Liu, Jiming Liu
2010 Handbook of Social Network Technologies and Applications  
The detected optimal community structure contains 10 communities with a Q-value of 0.60.  ...  The detected optimal community structure consists of 4 communities, and the corresponding Q-value is 0.42, which is greater than 0.37, the Q-value of the actual 2-community partition of this network.  ... 
doi:10.1007/978-1-4419-7142-5_16 fatcat:xyz6byx2pbc6bagyw2j25eiqsi

Low-Power Distributed Event Detection in Wireless Sensor Networks

Y. Zhu, Y. Liu, L. M. Ni, Z. Zhang
2007 IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications  
Based on a simplified network model, we quantify event detection performance by deriving the closed forms of detection delay and detectability.  ...  Without relying on location information, CAS is easy to implement and scalable to network density. Theoretical bounds of event detection are also studied to facilitate the comparative study.  ...  To improve detection performance, we proposed CAS, which is a fully localized algorithm for detection optimization.  ... 
doi:10.1109/infcom.2007.289 dblp:conf/infocom/ZhuLNZ07 fatcat:57jbgwffmzd4ff4t536pp6i6f4

ConvGraph: Community Detection of Homogeneous Relationships in Weighted Graphs

Héctor Muñoz, Eloy Vicente, Ignacio González, Alfonso Mateos, Antonio Jiménez-Martín
2021 Mathematics  
The method includes a final refinement step applied to communities with a high vertex density that could not be detected in the first phase.  ...  This paper proposes a new method, ConvGraph, to detect communities in highly cohesive and isolated weighted graphs, where the sum of the weights is significantly higher inside than outside the communities  ...  To do this, we use computer vision methods designed to detect optimal edges in images, as explained in Section 2.1.  ... 
doi:10.3390/math9040367 fatcat:qwfdd63wgnc33mbxjjy5kqsv2u

Biochemical measures in the diagnosis of alcohol dependence using discriminant analysis

M Vaswani, RavindraV Rao
2005 Indian Journal of Medical Sciences  
The results of the present study also confirms the assumption that alcohol abuse in all phases such as alcohol dependence or heavy drinking may not be detected optimally with the use of one test.  ...  This is being tested in an ongoing community-based study. The complex relation between alcohol use, liver function tests and lipid profile has been documented.  ... 
doi:10.4103/0019-5359.17048 fatcat:znuwlj3ht5cvhijemyrxv6t3ge

Development of a sparse RFID reader deployment algorithm for effective RFID network planning

M. F. Munkailu, S. M. Sani, A. M. S. Tekanyi
2018 Nigerian Journal of Technology  
Bidirectional communication between the readers and tags could only be established if their receiver sensitivity was less than or equal to the incoming signal.  ...  In SRDA, the number of initial readers deployed is always equal to the number of tags to be detected.  ...  Optimization of SRDA This algorithm made use of a multi-objective optimization approach to achieve an optimum reader topology design.  ... 
doi:10.4314/njt.v37i3.29 fatcat:s6uqx7uaxvaapesrfubtqdnvsu

Dynamic Route Shortening and Route Repairing Mechanism for Mobile Ad Hoc Networks

2012 Journal of Computer Science  
In our previous study, a secure route optimization mechanism, called Secure Dynamic Route Shortening (SDRS) (Revathi and Rangaswamy, 2012) , to detect optimized route if there is some short cut available  ...  It does not require any stationary infra structure, such as a base station.  ... 
doi:10.3844/jcssp.2012.1212.1218 fatcat:fd5zdfi355ao7n2hrfurdn7whi
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