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Along with the rapid increase in information of internet,the information research technology was confronted with more and more challenge.Traditional WEB search engine is not satisfied with users' special demand any more,therefore there comes forth a trend to join intelligent technique with Web search engine.This paper puts forward a Multi-agent based architecture for WEB search engine based on traditional architecture.An effective securities business search engine,which is can satisfy user's especial request which is created by means of intelligent technique.If the system is used in many other special fields,good results of information research can also be acquired. 相似文献
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The important strategy decision making system, one of the difficult problems of the research of Group Decision Support System, is an open complex huge system, which is almost non structure and hard to construct. In order to organize and take advantage of decision making departments more effectively, this paper presents the thought of combining Multi Agent System with Dynamical Alliance and set up the GDSS Framework of Organization Oriented Dynamic Alliance based on Multi Agent after analyzing the characteristics of MAS and Dynamical Alliance. Different departments can be organized more effectively on the three layer system structure composed of the strategy layer, the tactics layer and the operation layer. The decision making layer of each department is composed of the integrate decision making subsystem, which means that the decision making layer of each department can be used solely or be a part of Dynamic Alliance to make the important strategy decision and the system gets more flexible. 相似文献
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Astrid?P.?Vasquez James?L.?Regens James?T.?GunterEmail author 《Journal of Soils and Sediments》2004,4(3):151-156
Background and Goal A number of global events have generated intense scientific scrutiny and public concern of polychlorinated dibenzo-p-dioxins (dioxin). DIoxins have been associated with a range of adverse health effects. 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) is recognized as among the most dangerous of the dioxin compounds, and was a contaminant found In one of the
herbicides used for vegetation control during the Vietnam conflict: Agent Orange. As a result of purging spray systems and
leaking drums of Agent Orange concentrate, TCDD contamination occurred in the soils surrounding Hardstand 7 at Eglin Air Force
Base, Florida. This research uses a multimedia model to estimate the TCDD concentrations in surface soil around Hardstand
7 for a 70-year time Interval beginning with observed surface soil concentrations 1984.
Methods Hardstand 7 is a nearly 40-m circular concrete and asphalt aircraft parking area. The hardstand was used as a staging area
for spraying equipment used to disseminate herbicide In a test area called C-52A within EAFB. Concentrated herbicide was also
stored in 208-L barrels for use with the equipment, and later, for disposal. In 1984, a field investigation characterized
the extent of TCDD contamination in surface soils around Hardstand 7 using a radial sampling protocol. The 1984 observed concentrations
and locations was used in a multimedia model, CalTOX, as an initial source term concentrations and locations to estimate expected
concentrations during the subsequent 70-years.
Results The results indicate that more than 94% of the TCDD observed in surface soils 1984 will remain after a 70-year period. Access
restrictions and remediation activities at the site eliminate bar verification of the CalTOX estimates. Conclusions. TCDD
is highly persistent in the soil medium and natural attenuation may not produce a significant decrease In soil concentrations.
Recommendation Active remediation actions may be required to prevent exposure to TCDD contamination surface soils. Verifying CalTOX concentration
estimates an Important step that should be performed, however, the, model provides an easy to use tool to estimate TCDD surface
soil contamination at herbicide storage or dispersion staging sites. 相似文献
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为了使接种微生物壮秧剂在农业生产中得到广泛的应用,通过苗床培养试验,研究了在低磷土壤上(石灰性黑钙土),接种微生物壮秧剂对水稻秧苗吸收氮、磷、钾的影响。结果表明,施用接种抗生菌5406和溶磷菌P77的壮秧剂可以显著提高水稻秧苗冠部氮、磷、钾的含量和吸收量,增加了根部氮、钾的含量和吸收量,减少了根部磷的含量和吸收量。研究表明,试验各处理中,P4处理(接种P77,浓度为5×107cfu/g)效果最好,其次是P2处理(接种5406,浓度为5×107cfu/g),即在壮秧剂中接种P77的效果好于5406,并且接种浓度为5×107cfu/g时较好。 相似文献
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智能Agent技术在天气预报中的应用研究 总被引:1,自引:0,他引:1
针对传统天气预报方法运行软件的局限性,提出了一个智能Agent技术在天气预报中的应用模型。利用自动输入Agent,解决天气预报资料选取问题;知识发现Agent,解决天气预报指标要素选择的问题,建立天气预报因子库;推理判别Agent,解决天气预报预报指标合成分析的问题,建立客观的天气预报方程;移动和共享输出Agent,解决天气预报预报结论分类输出问题,来实现Agent技术在天气预报中的智能部件,多Agent技术通过协作和交互,共同完成应用模型任务。并将该模型应用于天气预报方法运行软件系统中,系统运行结果证明了模型的有效性和科学性。 相似文献