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Kyoung-Don Kang

Researcher at Binghamton University

Publications -  80
Citations -  1661

Kyoung-Don Kang is an academic researcher from Binghamton University. The author has contributed to research in topics: Wireless sensor network & Real-time data. The author has an hindex of 20, co-authored 79 publications receiving 1547 citations. Previous affiliations of Kyoung-Don Kang include State University of New York System & New York University.

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Managing deadline miss ratio and sensor data freshness in real-time databases

TL;DR: This work defines average/transient deadline miss ratio and new data freshness metrics to let a database administrator specify the desired quality of real-time data services for a specific application and presents a novel QoS management architecture for real- time databases to support the desired QoS even in the presence of unpredictable workloads and access patterns.
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Location verification and trust management for resilient geographic routing

TL;DR: This paper proposes a location verification algorithm to address the attacks falsifying the location information on geographic routing protocols, and proposes approaches for trust-based multi-path routing, aiming to defeat attacks on GR.
Proceedings ArticleDOI

A QoS-sensitive approach for timeliness and freshness guarantees in real-time databases

TL;DR: This work presents a QoS management scheme to support guarantees on deadline miss ratio and data freshness (temporal consistency) even in the presence of unpredictable workloads and data access patterns.
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Using fuzzy logic for robust event detection in wireless sensor networks

TL;DR: It is demonstrated that using fuzzy values instead of crisp ones significantly improves the accuracy of event detection, and that the fuzzy logic approach provides higher event detection accuracy than two well-established classification algorithms.
Proceedings ArticleDOI

Supporting Preemptive Task Executions and Memory Copies in GPGPUs

TL;DR: A new lightweight approach to supporting preemptive memory copies and job executions in GPGPUs is presented and it is shown that the response time of the approach is significantly shorter than those of the unmodified GPG PU runtime system that supports no preemption.