The explosive growth of the web is at the basis of the great interest into web usage mining techniques in both the commercial and academic communities. This paper presents a classification algorith...
网络的爆炸性增长是基于商业和学术界对网络使用挖掘技术的极大兴趣。本文提出了一种分类算法。
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One vision for the future battlespace comprises cooperatives of uninhabited vehicles working seamlessly together and with manned vehicles in an adversarial environment. This provides the future warfighter with the potential to extend his reach and access into areas intentionally denied to him. Realisation of this vision clearly requires significant scientific advances to be made in a number of areas. Moreover, it also implies complete autonomy, whereas in reality humans are likely to be retained within the decision-making cycle, issuing high-level directions, managing uncertainty, and injecting a degree of flexibility and creativity into the system. This paper outlines a number of challenges that the Defence Science & Technology Organisation DSTO, which is part of the Australian Department of Defence, anticipates it will have to overcome as it develops an experimental capability similar to the one described above. The capability under development employs small, inexpensive Uninhabited Air Vehicles UAVs to detect, identify, locate, track, and electronically engage ground-based targets such as radars. These UAVs have the capacity to act autonomously and cooperatively and rely upon a heterogeneous mix of relatively unsophisticated Electronic Warfare EW receivers to observe and engage with their adversarial environment. The information observed and shared by this autonomous, adaptive and geographically distributed set of UAVs provides a situational awareness picture that can then be shared across the command echelons. The paper also provides a brief overview of the current status of the DSTO program and the results of some recent trials.
{"title":"Intelligent control of an autonomous cooperative of UAVs","authors":"A. Finn, S. Drake","doi":"10.3233/IDT-2007-11-205","DOIUrl":"https://doi.org/10.3233/IDT-2007-11-205","url":null,"abstract":"One vision for the future battlespace comprises cooperatives of uninhabited vehicles working seamlessly together and with manned vehicles in an adversarial environment. This provides the future warfighter with the potential to extend his reach and access into areas intentionally denied to him. Realisation of this vision clearly requires significant scientific advances to be made in a number of areas. Moreover, it also implies complete autonomy, whereas in reality humans are likely to be retained within the decision-making cycle, issuing high-level directions, managing uncertainty, and injecting a degree of flexibility and creativity into the system. This paper outlines a number of challenges that the Defence Science & Technology Organisation DSTO, which is part of the Australian Department of Defence, anticipates it will have to overcome as it develops an experimental capability similar to the one described above. The capability under development employs small, inexpensive Uninhabited Air Vehicles UAVs to detect, identify, locate, track, and electronically engage ground-based targets such as radars. These UAVs have the capacity to act autonomously and cooperatively and rely upon a heterogeneous mix of relatively unsophisticated Electronic Warfare EW receivers to observe and engage with their adversarial environment. The information observed and shared by this autonomous, adaptive and geographically distributed set of UAVs provides a situational awareness picture that can then be shared across the command echelons. The paper also provides a brief overview of the current status of the DSTO program and the results of some recent trials.","PeriodicalId":43932,"journal":{"name":"Intelligent Decision Technologies-Netherlands","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2007-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83202960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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