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         "author": [ 
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         "authors": [
         	
            	{"first" : "Ricardo A.",	"last" : "Mata"},
            	{"first" : "Hans Joachim",	"last" : "Werner"}
         ],
         "volume": "105","number": "19-22","pages": "2753\u20132761","abstract": "Natural localized molecular orbitals (NLMOs) have been used in localcalculations. For a test set of 30 molecules it is shownthe results obtained with NLMOs and Pipek-Mezey localizationvery similar. However, NLMOs are much less sensitive to the basis\\nset, in particular when diffuse functions are used. Based on naturalanalysis (NPA) a new method to determine the domains incorrelation methods is proposed. It is demonstrated that thisdomains that are very insensitive to the choice of the basis\\nset. For all 30 molecules the same domains are obtained with sixbasis sets ranging from cc-pVDZ to aug-cc-pVQZ. This allowsto define the local correlation methods more uniquely than withmethods.",
         "issn" : "00268976",
         
         "doi" : "10.1080/00268970701628209",
         
         "bibtexKey": "publ9358882"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/21d0d7c4b5f7b4d9b88dccc6c8be0132b/mwigger",         
         "tags" : [
            "LIDAR","Local","air","estimation;Neural","model","network.;Single","turbulence"
         ],
         
         "intraHash" : "1d0d7c4b5f7b4d9b88dccc6c8be0132b",
         "interHash" : "a35e3d0c6a99e944878a525af0abda44",
         "label" : "Acceleration for Wind Velocity Vector Estimation by Neural Network for Single Doppler LIDAR",
         "user" : "mwigger",
         "description" : "",
         "date" : "2018-07-01 13:42:06",
         "changeDate" : "2018-09-14 09:59:55",
         "count" : 1,
         "pub-type": "article",
         "journal": "Proceedings of ISAP2016",
         "year": "2016", 
         "url": "", 
         
         "author": [ 
            "Taro Matsuo","Guanhao Sun","Kidera Shouhei","Tetsuo Kirimoto","Hiroshi Shakamaki","Teruyuki Hara"
         ],
         "authors": [
         	
            	{"first" : "Taro",	"last" : "Matsuo"},
            	{"first" : "Guanhao",	"last" : "Sun"},
            	{"first" : "Kidera",	"last" : "Shouhei"},
            	{"first" : "Tetsuo",	"last" : "Kirimoto"},
            	{"first" : "Hiroshi",	"last" : "Shakamaki"},
            	{"first" : "Teruyuki",	"last" : "Hara"}
         ],
         "volume": "2016","pages": "444--445","abstract": "Doppler Light-Detection-And-Ranging (LIDAR) system is an essential tool for real-time wind monitoring for aircraft taking off and landing. Single LIDAR model is preferable in terms of cost and being free from synchronization problem of multiple LIDARs. There are many studies for single LIDAR based velocity estimation. In specifying the recognition for typical air turbulences, such as tornado, microburst or gust front, the parametric approach has been introduced in our previous research. However, this method suffers from a large computational time due to solving multiple dimensional and non-linear optimization problem by particle swarm optimization (PSO). Aiming at real-time monitoring, this paper introduces neural network based optimization approach to determine the turbulence model. The results from numerical simulation demonstrate that the proposed method considerably reduces the calculation cost without sacrificing an estimation accuracy, compared with that obtained by the former PSO based method.",
         "bibtexKey": "matsuo2016acceleration"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/24cf8379b7272f5cfe7ab4861f749391d/isw-bibliothek",         
         "tags" : [
            "Component-based","ISW","Local","Partitioned","Real-time","integration,","modeling,","simulation","simulation,"
         ],
         
         "intraHash" : "4cf8379b7272f5cfe7ab4861f749391d",
         "interHash" : "6839436cba2487e1126eda692fd3b75d",
         "label" : "A Contribution to the Real-time Simulation of Coupled Finite Element Models ofMachine Tools - a Numerical Comparison: A Contribution to the Real-time Simulation of Coupled Finite Element Models ofMachine Tools - a Numerical Comparison",
         "user" : "isw-bibliothek",
         "description" : "",
         "date" : "2016-03-03 09:53:12",
         "changeDate" : "2016-03-03 09:18:35",
         "count" : 1,
         "pub-type": "misc",
         
         "year": "2011", 
         "url": "", 
         
         "author": [ 
            "Röck S. Hoher, S."
         ],
         "authors": [
         	
            	{"first" : "Röck S.",	"last" : "Hoher, S."}
         ],
         "pages": "--","abstract": "In this paper the real-time simulation of finite element (FE) models ofmachine tools on a multi-processor architecture is presented. The simulationmodel is based on several FE component models that are connected by non-linearcouplings. These couplings allow relative motions of the components in a widerange. The coupled linear FE models are decomposed at the non-linear couplingnodes and each component is solved locally. The linear structure of thecomponents can be used for efficient simulation methods and the components canbe distributed to several processors for a parallel computation. Methods thatdiffer in numerical accuracy and stability, computational effort and real-timecapacity will be presented. By means of a complex example, it will beillustrated that a parallel, stable computation can be realizedtime-deterministically.",
         "__markedentry" : "[xtl:6]",
         
         "bibtexKey": "Hoher2011"

      }
	  
   ]
}