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Current research on robot navigation is focused on clear recognition of the map and optimal path planning. The human cleaning path is, however, not optimal regarding time but optimal to the cleaning purpose. We have analyzed in this paper the cleaning behaviors in home environments and understood the user's path planning behaviors through usage tests of(More)
—Considering the increasing number of target patterns for the intrusion detection systems (IDS), memory requirements should be minimized for reducing hardware overhead. This paper proposes an algorithm that partitions a set of target patterns into multiple subgroups for homogeneous string matchers. Using a pattern grouping metric, the proposed pattern(More)
We investigated auditory perception and cognitive processing in individuals with chronic tinnitus or hearing loss using functional magnetic resonance imaging (fMRI). Our participants belonged to one of three groups: bilateral hearing loss and tinnitus (TIN), bilateral hearing loss without tinnitus (HL), and normal hearing without tinnitus (NH). We employed(More)
As an at-speed solution to board-level interconnect testing , an enhanced boundary-scan architecture utilizing a combination of slightly modified boundary-scan cells and a user-defined register is proposed. Test methods based on the new architecture can accomplish cost-effective at-speed testing and propagation delay measurements on board-level(More)
—As the variety of hazardous packet payload contents increases, the intrusion detection system (IDS) should be able to detect numerous patterns in real time. For this reason, this paper proposes an Aho-Corasick algorithm based parallel string matching. In order to balance memory usage between homogeneous finite-state machine (FSM) tiles for each string(More)
—This paper proposes an algorithm that provides both dynamic voltage scaling and power shutdown to minimize the total energy consumption of an application executed on an on-chip multiprocessor. The proposed algorithm provides an extended schedule and stretch method, where task computations are iteratively stretched within the slack of a time-constrained(More)
BACKGROUND The prognosis of cancer recurrence is an important research area in bioinformatics and is challenging due to the small sample sizes compared to the vast number of genes. There have been several attempts to predict cancer recurrence. Most studies employed a supervised approach, which uses only a few labeled samples. Semi-supervised learning can be(More)
SUMMARY This paper proposes a pattern partitioning algorithm that maps multiple target patterns onto homogeneous memory-based string matchers. The proposed algorithm adopts the greedy search based on lex-icographical sorting. By mapping as many target patterns as possible onto each string matcher, the memory requirements are greatly reduced.