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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)
Alzheimer's disease (AD) is characterized by the transition of amyloid-β (Aβ) monomers into toxic oligomers and plaques. Given that Aβ abnormality typically precedes the development of clinical symptoms, an agent capable of disaggregating existing Aβ aggregates may be advantageous. Here we report that a small molecule,(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)
Amyloid-β (Aβ) is one of the few neuropathological biomarkers associated with transporters of the blood-brain barrier (BBB). Despite the well-characterized clinical indication of decreasing Aβ levels in the cerebrospinal fluid (CSF) during the development of Alzheimer's disease (AD), the link between the alternation of Aβ level in the blood and the progress(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)
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)
For the low-cost hardware-based intrusion detection systems, this paper proposes a memory-efficient parallel string matching scheme. In order to reduce the number of state transitions, the finite state machine tiles in a string matcher adopt bit-level input symbols. Long target patterns are divided into subpatterns with a fixed length; deterministic finite(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)