Green human resource management: a proposed model in the context of Sri Lanka's tourism industry.

Analyzing factors affecting implementation success of sustainable human resource management (SHRM) using a hybrid approach of FAHP and Type-2 fuzzy DEMATEL

LaVail (Eds), Retinal Degenerative Diseases (Advances in Experimental Medicine and Biology 723) ISBN 978-1-4614-0630-3 7 * € (D) 213,95 | € (A) 219,94 | sFr 266,50 7 € 199,95 | £180.00 Special_SpacerSpecial_Spacer Mylonakis (Eds), Recent Advances on Model Hosts (Advances in Experimental Medicine and Biology 710) ISBN 978-1-4419-5637-8 7 * € (D) 149,75 | € (A) 153,94 | sFr 201,00 7 € 139,95 | £126.00 Special_SpacerSpecial_Spacer

Advances in intelligent and soft computing

Landscape fragmentation and habitat loss are one of the important factors resulting in biodiversity decrease and species extinction. A large amount of Eucalyptus have been introduced into Yunnan Province in China since 2003, replaced the native forest, farmland, wasteland and other ecosystems, leading to natural habitat loss and landscape fragmentation. In order to protect habitat and the biodiversity, the secondary evergreen broad-leaved forest were selected as “protection source”, land cover types, altitude, slope and soil texture were selected as resistance factors, to construct a medium-security and high-security level landscape eco-security patterns for Eucalyptus introduction regions by using the minimum cumulative resistance model and GIS technology. The patterns were composed of the eco-security pattern compositions and ecological function zones. The eco-security pattern compositions were composed of corridor, radiating routes and strategic point etc. The ecological function zones were composed of key eco-protection zone, eco-buffer zone, eco-transition zone, Eucalyptus planting zone, Eucalyptus banned zones, farming zone, living zone etc.

Research on landscape ecological security pattern in a Eucalyptus introduced region based on biodiversity conservation

With the rapid growth of researches toward computer vision and pattern recognition, methods that based on convolutional neural network (CNN) have shown unique advantages on handwritten characters recognition, also provided impressive results. This paper proposes a model based on CNN to deal with matters of handwritten Chinese character recognition. Different with conventional recognition system, in this model, input images are preprocessed by median filtering to smooth and reduce noise. For testing the stability and performance of the model, two testes are managed respectively. In integral test, experimental results show that the accuracy rate of recognition approach to 90.91% after 5000 times training, mean square error is decreased to 0.0079 at last. Meanwhile, this system also has a good performance at real-time test.

Wenjiang Du

Papers

Informatics and Management Science III