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Development of A Simulation Model Considering Vegetation Growth and Flushing in Arakawa River
Hideaki Sekine,Kentaro Sakamoto,Tatuya Nishimura,Takashi Asaeda 대한토목학회 2012 KSCE Journal of Civil Engineering Vol.16 No.2
In the present study, we developed a simulation model that could predict the growth of trees and erbaceousplants for a long time. The growth of plants is formulated as the material processing of the plants, photosynthesis, respiration and mortality. Empirically obtained allometry relationship is also added in the tree model. While, the herb model was formulated by sucession of plants. Combined with the physical model, it was applied to the observed results of the vegetation succession on the sediment bar of Arakawa River after the record-breaking flood in 2007. The sufficient agreement was obtained for the vegetation succession. The model enable us to predict the growth pattern of vegetation successfully.
Aerosol Deposition Process for Ceramic Thick Film Formation
Tsurumi Takaaki,Akedo Jun,Sekine Takashi,Momotani Nohoko,Kakemoto Hirofumi,Wada Satoshi 한국분말야금학회 2006 한국분말야금학회 학술대회논문집 Vol.2006 No.1
The 21st Century Frontier Program, which is one of the R&D programs funded by Korean government, was launched in 1999 to elevate the status of Korean science and engineering capabilities to the advanced nation in the strategic fields. Currently, 23 different fields of science and engineering programs are carried out by researchers in institutes, universities and industries. Center for Advanced Materials Processing (CAMP) was formulated in 2001 to develop the advanced materials as well as to improve the parts manufacturing process. The main role of CAMP is proposing and forecasting the long term vision in Materials Processing Technology and also supporting the project teams for their best performance in R&D. The CAMP program consists of 5 research areas such as, Multi-layer Ceramic Electronic Parts, Powder Formed Precision Parts, 3 Dimensional Polymer Based Composites, Functional Metal Sheets, Parts Integration Technology. An introduction of R & D activities at CAMP, specially focusing on powder metallurgy, wil be presented.
Developing a Hardware Neural Network for Memorizing Temporal Patterns
Sungyoon YOON,Kousuke TANIGUCHI,Takashi HORIKANE,Yoshifumi SEKINE 대한전자공학회 2007 ITC-CSCC :International Technical Conference on Ci Vol.2007 No.7
It is known that the hippocampus, related to the information processing of memorizing and learning in the brain, is a special part of short-term memory. The synaptic plasticity of the hippocampus is remarkable. The transmission efficiency of the synapse is changed by the synaptic plasticity, and it is thought that the increase and decrease of the transmission efficiency are memories. We construct a hardware NN that considers the synaptic plasticity for the purpose of constructing the hardware NN, that can output the memorized temporal pattern. We also examine the response characteristic, that the change of the transmission efficiency of the synapse by the synaptic plasticity, is a synaptic weight.