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	Network Structure Influence on Tourism Industrial Performance: A Network Perspective to Explain the Global Tourism Development 期刊论文 OAI收割 APPLIED SCIENCES-BASEL, 2022, 卷号: 12, 期号: 12, 页码: 20 作者: Zhu, He; Liu, Jiaming \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2022/09/21 global tourism network network structure tourism performance global level individual level effect
	Network Structure Influence on Tourism Industrial Performance: A Network Perspective to Explain the Global Tourism Development 期刊论文 OAI收割 APPLIED SCIENCES-BASEL, 2022, 卷号: 12, 期号: 12, 页码: 20 作者: Zhu, He; Liu, Jiaming \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2022/09/21 global tourism network network structure tourism performance global level individual level effect
	High gain avalanche photodiode (APD) arrays in flow cytometer opitical system (EI CONFERENCE) 会议论文 OAI收割 2nd International Conference on Multimedia Technology, ICMT 2011, July 26, 2011 - July 28, 2011, Hangzhou, China 作者: Chen Y.; Tang Y.; Wang C.; Zhao S. 收藏 \| 浏览/下载：45/0 \| 提交时间：2013/03/25 The basic principles of flow cytometer are introduced on the basis of diode pump solid state laser (532 nm) as a excitation source and a high gain avalanche photodiode (APD) arrays as a light detector a verification opitical system is built. Then Spherotech Rainbow Calibration Particle RCP-30-5A is used to evaluate the performance of the opitical system the fluorescence PE signal histogram of RCP-30-5A microshphere shows that the number of individual peaks is close to eight which is close to the world advanced level. 2011 IEEE.
	Mental imagery knowledge representation mode of human-level intelligence system (EI CONFERENCE) 会议论文 OAI收割 4th International Conference on Rough Sets and Knowledge Technology, RSKT 2009, July 14, 2009 - July 16, 2009, Gold Coast, QLD, Australia 作者: Zhang D.; Zhang D. 收藏 \| 浏览/下载：31/0 \| 提交时间：2013/03/25 For the human-level intelligence simulation we should simulate it from the essence of intelligence and with the research results of brain science cognitive science artificial intelligence and others. In our study a mental imagery knowledge representation mode had been established based on cognitive mechanism of human. Two kinds of table named mental imagery concept attributes table and concept attribute value ranges table had been used together to represent mental imagery knowledge in system. Mental imagery concept attributes table which formed by the thought of concept lattice was used to decide relations among concepts and attributes under the circumstance of coarse granularity. While concept attribute value ranges table was used to record differences of individual objects belong to the same concept under the circumstance of fine granularity. The concrete structured method of tables and decision-making process of system were described in the paper. Finally the validity and feasibility of the knowledge representation mode are illustrated with real examples. 2009 Springer Berlin Heidelberg.