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Doo-Seop Eom

Researcher at Korea University

Publications -  89
Citations -  1335

Doo-Seop Eom is an academic researcher from Korea University. The author has contributed to research in topics: Wireless sensor network & Network packet. The author has an hindex of 22, co-authored 88 publications receiving 1173 citations. Previous affiliations of Doo-Seop Eom include Saint Petersburg State University.

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Novel Leakage Detection by Ensemble CNN-SVM and Graph-Based Localization in Water Distribution Systems

TL;DR: This paper proposes a novel, fast, and accurate water leakage detection system with an adaptive design that fuses a one-dimensional convolutional neural network and a support vector machine and proposes a graph-based localization algorithm to determine the leakage location.
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An implementation of wireless sensor network

TL;DR: This paper describes a Bluetooth wireless sensor network for security systems, which includes the implementation issues about system architecture, power management, self-configuration of network, and routing, and thinks that the methods or algorithms described can be easily applied to other embedded Bluetooth applications for wireless networks.
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A design and implementation of wireless sensor gateway for efficient querying and managing through World Wide Web

TL;DR: This paper presents the architecture of the sensor gateway for Web-based management and its implementation details, and assumes that wireless sensor networks have 3-level regional hierarchy, but the gateway is flexible enough to cooperate with other type sensor networks.
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An intelligent agent-based routing structure for mobile sinks in WSNs

TL;DR: IAR, an Intelligent Agent-based Routing protocol that provides efficient data delivery to mobile sink is proposed and the proposed algorithm reduces signal overhead and improve degraded route called triangular routing problem.
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Link-State-Estimation-Based Transmission Power Control in Wireless Body Area Networks

TL;DR: A novel transmission power control protocol to extend the lifetime of sensor nodes and to increase the link reliability in wireless body area networks (WBANs) based on both short- and long-term link-state estimations is presented.