Ex Parte Hoglund et al - Page 2



              Appeal 2006-3245                                                                                            
              Application 10/383,224                                                                                      
                                            SUMMARY OF DECISION                                                           
                     We REVERSE.                                                                                          

                                                  THE INVENTION                                                           
                     Appellants invented a method to detect anomalies in which the concept of                             
              normal behavior varies with time (Specification 1: [0001]).  Claim 1, reproduced                            
              below, is representative of the subject matter on appeal.                                                   
                     1.  A method for teaching an anomaly detecting mechanism in a                                        
                     system comprising observable elements, at least one of which has a                                   
                     periodic time dependent behaviour, the anomaly detecting mechanism                                   
                     comprising a computerized learning mechanism having an input space                                   
                     for defining input data comprising input data components, the method                                 
                     comprising the following steps:                                                                      
                            assembling indicators indicating the behaviour of the                                         
                     observable elements and arranging the assembled indicators such that                                 
                     each indicator corresponding to each observable element is assigned                                  
                     to the same input data component;                                                                    
                            teaching the learning mechanism such that the input data of the                               
                     learning mechanism comprises the input data components which are                                     
                     based on the assembled indicators;                                                                   
                            placing points which approximate the input data in the input                                  
                     space; and                                                                                           
                            incorporating a presentation of time into at least one input data                             
                     component,                                                                                           
                            wherein the presentation of time is periodic, continuous and                                  
                     unambiguous within a period of the at least one element with periodic                                
                     time-dependent behaviour.                                                                            



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