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Titlebook: Computer and Computing Technologies in Agriculture, Volume II; First IFIP TC 12 Int Daoliang Li Conference proceedings 2008 IFIP Internatio

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51#
發(fā)表于 2025-3-30 09:07:36 | 只看該作者
52#
發(fā)表于 2025-3-30 13:22:14 | 只看該作者
Application on IOC Pattern in Integration of Workflow System with Application Systems,invasive system code, structural damage, tight coupling system, and reduces the flexibility of the systems, increases the difficulty to maintain. Then two integration models were presented, and a new integration method was brought forward to solve the problem. Finally, an example was provided to ill
53#
發(fā)表于 2025-3-30 19:51:37 | 只看該作者
54#
發(fā)表于 2025-3-30 21:47:18 | 只看該作者
55#
發(fā)表于 2025-3-31 01:48:30 | 只看該作者
I-UDDI4M: Improved UDDI4M Protocol,still required. At the same time, service discovery is basic technology in the MANETs. So, in this paper we propose an Improved UDDI Protocol used for MANETs (I-UDDI4m thereafter) in obtaining the information of Web Service actively, which is based on the theory of UDDI4m Protocol.
56#
發(fā)表于 2025-3-31 06:12:58 | 只看該作者
A Temporarily-spatially Constrained Model Based on TRBAC in Workflow System,aint is that user is not only constrained by temporality, but also constrained by spatiality when user executes the task. The model suggests that a property of security level should be increased in task. The newly increased property can make the workflow more safety and flexibility.
57#
發(fā)表于 2025-3-31 12:33:44 | 只看該作者
Daoliang LiProceedings from the first conference of its kind in practical computer and computing applications in agriculture
58#
發(fā)表于 2025-3-31 13:48:18 | 只看該作者
IFIP Advances in Information and Communication Technologyhttp://image.papertrans.cn/c/image/233460.jpg
59#
發(fā)表于 2025-3-31 18:44:32 | 只看該作者
60#
發(fā)表于 2025-3-31 22:31:53 | 只看該作者
https://doi.org/10.1007/978-3-540-32818-6sed on dynamically simulating the procedure of flood out. An example in Huangdunhu flood detention area, Jiangshu province of China has been given to describe how to use it to predict the incoming agricultural losses. Compared with prior methods, the method is more intuitive and accurate, and can be
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