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CONSEL: Connectivity-based Segmentation in Large-Scale 2D/3D Sensor Networks

by Hongbo Jiang, Tianlong Yu, Chen Tian, Guang Tan, Chonggang Wang
"... Abstract—A cardinal prerequisite for the system design of a sensor network, is to understand the geometric environment where sensor nodes are deployed. The global topology of a large-scale sensor network is often complex and irregular, possibly containing obstacles/holes. A convex network partition, ..."
Abstract - Cited by 6 (3 self) - Add to MetaCart
, bridging the convex regions and the Reeb graph of a network. Accordingly, we propose a novel distributed and scalable algorithm, named CONSEL, for CONnectivity-based SEgmentation in Large-scale 2D/3D sensor networks. Specifically, several boundary nodes first perform flooding to construct the Reeb graph

CABET: ConnectivityBased Boundary Extraction

by Hongbo Jiang, Shengkai Zhang, Guang Tan, Chonggang Wang, Senior Member - of Large-Scale 3D Sensor Networks,” Proc. IEEE INFOCOM , 2011
"... Abstract—Sensor networks are invariably coupled tightly with the geometric environment in which the sensor nodes are deployed. Network boundary is one of the key features that characterize such environments. While significant advances have been made for 2D cases, so far boundary extraction for 3D se ..."
Abstract - Cited by 8 (3 self) - Add to MetaCart
sensor networks has not been thoroughly studied. We present CABET, a novel Connectivity-Based Boundary Extraction scheme for large-scale 3D sensor networks. To the best of our knowledge, CABET is the first 3D-capable and pure connectivity-based solution for detecting sensor network boundaries

6Connectivity-Based and Anchor-Free Localization in Large-Scale 2D/3D Sensor Networks GUANG TAN, SIAT, Chinese Academy of Sciences

by Hongbo Jiang, Shengkai Zhang, Zhimeng Yin, Anne-marie Kermarrec Inria/irisa
"... A connectivity-based and anchor-free three-dimensional localization (CATL) scheme is presented for large-scale sensor networks with concave regions. It distinguishes itself from previous work with a combination of three features: (1) it works for networks in both 2D and 3D spaces, possibly containin ..."
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A connectivity-based and anchor-free three-dimensional localization (CATL) scheme is presented for large-scale sensor networks with concave regions. It distinguishes itself from previous work with a combination of three features: (1) it works for networks in both 2D and 3D spaces, possibly

A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks.

by Devarajan Sridharan , † ‡ , Daniel J Levitin , Vinod Menon - Proc Natl Acad Sci USA , 2008
"... Cognitively demanding tasks that evoke activation in the brain's central-executive network (CEN) have been consistently shown to evoke decreased activation (deactivation) in the default-mode network (DMN). The neural mechanisms underlying this switch between activation and deactivation of larg ..."
Abstract - Cited by 178 (1 self) - Add to MetaCart
of large-scale brain networks remain completely unknown. Here, we use functional magnetic resonance imaging (fMRI) to investigate the mechanisms underlying switching of brain networks in three different experiments. We first examined this switching process in an auditory event segmentation task. We

A Unified Framework for Line-Like Skeleton Extraction in 2D/3D Sensor Networks

by Wenping Liu, Hongbo Jiang, Senior Member, Yang Yang, Student Member, Xiaofei Liao, Hongzhi Lin, Zemeng Jin
"... Abstract—In sensor networks, skeleton extraction has emerged as an appealing approach to support many applications such as load-balanced routing and location-free segmentation. While significant advances have been made for 2D cases, so far skeleton extraction for 3D sensor networks has not been thor ..."
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thoroughly studied. In this paper, we conduct the first work of a unified framework providing a connectivity-based and distributed solution for line-like skeleton extraction in both 2D and 3D sensor net-works. We highlight its practice as: 1) it has linear time/message complexity; 2) it provides reasonable

Wireless Sensor Networking in Challenging Environments

by Mo Sha, Raj Jain, Jonathan Turner, Guoliang Xing, Mo Sha , 2014
"... This Dissertation is brought to you for free and open access by Washington University Open Scholarship. It has been accepted for inclusion in All Theses and Dissertations (ETDs) by an authorized administrator of Washington University Open Scholarship. For more information, please contact ..."
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This Dissertation is brought to you for free and open access by Washington University Open Scholarship. It has been accepted for inclusion in All Theses and Dissertations (ETDs) by an authorized administrator of Washington University Open Scholarship. For more information, please contact

A Unified Framework for Line-like Skeleton Extraction in 2D/3D Sensor Networks

by unknown authors
"... Abstract—In sensor networks, skeleton extraction has emerged as an appealing approach to support many applications such as load-balanced routing and location-free segmentation. While significant advances have been made for 2D cases, so far skeleton extraction for 3D sensor networks has not been thor ..."
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Abstract—In sensor networks, skeleton extraction has emerged as an appealing approach to support many applications such as load-balanced routing and location-free segmentation. While significant advances have been made for 2D cases, so far skeleton extraction for 3D sensor networks has not been

Article TDMA-Based Dual-Mode Communication for Mobile Wireless Sensor Networks

by Ankur Mehta, Branko Kerkez, Steven D. Glaser, Kristofer S. J. Pister , 2012
"... sensors ..."
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sensors

Article Semantically-Enabled Sensor Plug & Play for the Sensor Web

by Arne Bröring, Patrick Maué, Krzysztof Janowicz, Daniel Nüst, Christian Malewski , 2011
"... sensors ..."
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sensors

Active Mask Framework for Segmentation of Fluorescence Microscope Images

by Gowri Srinivasa, Advisor Prof, Prof Matthew, C. Fickus, Prof Adam, D. Linstedt, Prof Robert, F. Murphy
"... m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol of ..."
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facilitated the task of understanding complex sys-tems at cellular and molecular levels in recent years. Segmentation, an important yet dif-ficult problem, is often the first processing step following acquisition. Our team previously demonstrated that a stochastic active contour based algorithm together
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