• International Journal of Railway
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• v.2 no.3
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• pp.127-130
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• 2009

The system improves the safety and efficiency of railway transport, combining the advanced axle-counter with single-track semiautomatic block. Using computer, to accomplish relay-based semiautomatic block logic operation and axle-counter to check section status, it will further increase the performance of railway transport. Safety-related communication is one of the important topics in railway signal system. By referring to relevant safety-related communication standards, to research on safety-related communication of Micro-computer automatic block between Railway Stations System, the thesis introduces the basic requirements, concept model, codes, and the process, etc.

• 제어로봇시스템학회:학술대회논문집
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• 1986.10a
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• pp.544-546
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• 1986

In this report, we have designed a Flexible Manufacturing System(FMS) for Engine-Cylinder block that is composed of maching center, special purpose machine, AGV(Automatic Guided Vehicle), using Micro-Computer and Programmable Controller(PC). From this report, we mostly present hardware features and scheduling software.

• ETRI Journal
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• v.35 no.6
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• pp.1021-1028
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• 2013

Automatic facial expression recognition is a widely studied problem in computer vision and human-robot interaction. There has been a range of studies for representing facial descriptors for facial expression recognition. Some prominent descriptors were presented in the first facial expression recognition and analysis challenge (FERA2011). In that competition, the Local Gabor Binary Pattern Histogram Sequence descriptor showed the most powerful description capability. In this paper, we introduce hybrid facial representations for facial expression recognition, which have more powerful description capability with lower dimensionality. Our descriptors consist of a block-based descriptor and a pixel-based descriptor. The block-based descriptor represents the micro-orientation and micro-geometric structure information. The pixel-based descriptor represents texture information. We validate our descriptors on two public databases, and the results show that our descriptors perform well with a relatively low dimensionality.