Dong-Ik Ko

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This paper develops methods for model-based design and implementation of image processing applications. We apply our previously developed meta-modeling technique of homogeneous parameterized dataflow (HPDF) [9] to the framework of cyclo-static dataflow (CSDF) [1], and demonstrate this integrated model-ing methodology through hardware mapping of a gesture(More)
Wireless sensor network (WSN) applications have been studied extensively in recent years. Such applications involve resource-limited embedded sensor nodes that have small size and low power requirements. Based on the need for extended network lifetimes in WSNs in terms of energy use, the energy efficiency of computation and communication operations in the(More)
In a sensor network, as we increase the number of nodes, the requirements on network lifetime, and the volume of data traffic across the network, it is often efficient to move towards hierarchical network architectures (e.g., see [5]). In such hierarchical networks, sensor nodes are clustered into groups, and their roles are divided into master and slave(More)
Modern embedded systems for image processing involve increasingly complex levels of functionality under real-time and resource-related constraints. As this complexity increases, the application of single-chip multiprocessor technology is attractive. To address the challenges of mapping image processing applications onto embedded multiprocessor platforms,(More)
Due to the limited amounts of on-chip memory, large volumes of data, and performance and power consumption overhead associated with interprocessor communication, efficient management of buffer memory is critical to multi-core image processing. To address this problem, this paper develops new modeling and analysis techniques based on dataflow(More)
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