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      • Evolution of Multi-temporal Landslides at Luhu, Miaoli County, Taiwan

        ( Che-ming Yang ),( Keng-hao Kang ),( Kuo-wei Li ),( Hui-jung Wang ),( Ching-ping Hsiao ),( Jyh-jong Liao ),( Yii-wen Pan ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2

        A deep-seated landslide took place in Luhu, Miao-Li, Taiwan during intermittent rainfall in April 2018; initially, there were successive rock falls and gully erosion then leaded to a deep-seated landslide failure eventually. This study aims to understand the failure mechanism and the process of deep-seated failure. The study site is a steep anaclinal slope consisting of the Miocence Shihti Formation with thick sandstone, interbedded of sandstone and shale. We collected multi-temporal ortho-images and digital elevation (surface) models from 1980 to 2019 for geological investigation, geomorphological interpretation and numerical simulation. The images reveal several slope failures at 1998, 2003, 2005, 2009, 2015, 2017 and 2018 with various volume and failure types. The study area contains three sub-regions: the north, the northwest and the southwest slopes. The slope failure occurred repeatedly inside the north and the northwest slopes in the early stage. Gully erosion in the southwest slope progressed to a landslide on April 5, 2018 first and expanded to cover the deep-seated landslide failure in the northwest slope eventually; the slope failure resulted in a natural dam. After the landslide, several open cracks appeared near to the crown. The estimated maximum thickness, area and volume of the deep-seated landslide are ~60 m, 65,000 m2 and ~2 Mm3, respectively. Based on these results, we also performed a series of numerical simulation using the software RAMMS to interpret the run out and the deposition of this landslide case.

      • KCI등재

        Applying Multi-Objective Planning in Low-Carbon Product Design

        Tsai Chi Kuo,Hsiao Min Chen,Chia Yi Liu,Jui-Che Tu,Tzu-Chang Yeh 한국정밀공학회 2014 International Journal of Precision Engineering and Vol. No.

        In low-carbon product design, product environment, as well as economic and manufacturing capabilities, should be considered simultaneously. The purpose of this paper is to improve the product carbon footprint calculation efficiency. This study not only considers cost, supplier manufacturing capacity, and transport modes of product components from the viewpoint of low-carbon product design, but it also provides information on product GHG values, design phase cost, as well as the product decisions made by enterprises. In this way, enterprise objectives about carbon footprints and product cost can be met. Based on the product life cycle and product category specifications, this study, following the actual industry process flow, collects and calculates data on GHG emissions of components within the product life cycle, cost and supplier production capacity. The aim is to determine the operational parameters and constraint equations. Multi-objective planning is used to establish a low carbon optimal evaluation model. By reviewing carbon emissions in each phase, the study further determines whether or not to modify product structure and consumption in order to improve the efficiency of product carbon footprint calculation, reduce R&D cost, and help enterprises design low-carbon products. Finally, the findings are used for a case analysis.

      • SCIESCOPUSKCI등재

        In Silico Sequence Analysis Reveals New Characteristics of Fungal NADPH Oxidase Genes

        ( Nicolas Detry ),( Jae Young Choi ),( Hsiao Che Kuo ),( Fred O. Asiegbu ),( Yong Hwan Lee ) 한국균학회 2014 Mycobiology Vol.42 No.3

        NADPH oxidases (Noxes), transmembrane proteins found in most eukaryotic species, generate reactive oxygen species and are thereby involved in essential biological processes. However, the fact that genes encoding ferric reductases and ferricchelate reductases share high sequence similarities and domains with Nox genes represents a challenge for bioinformatic approaches used to identify Nox-encoding genes. Further, most studies on fungal Nox genes have focused mainly on functionality, rather than sequence properties, and consequently clear differentiation among the various Nox isoforms has not been achieved. We conducted an extensive sequence analysis to identify putative Nox genes among 34 eukaryotes, including 28 fungal genomes and one Oomycota genome. Analyses were performed with respect to phylogeny, transmembrane helices, di-histidine distance and glycosylation. Our analyses indicate that the sequence properties of fungal Nox genes are different from those of human and plant Nox genes, thus providing novel insight that will enable more accurate identification and characterization of fungal Nox genes.

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