Location arithmetic

Abstract: This paper presented a poly-hiberarchy disposition arithmetic,which combined image edge location detecting and color extracting,aiming at the restrictions existing in the application of single license plate location algorithm in complicated background.Designed set of method to detect the flase-license-plate.This judgement could be exploited in the candidate region of plate which was resulted from the parallel disposition of two location methods in order to ascertain the right region.It has been proved that the composite way has a better adaption and a higher nicety quality compared with single traditional means.

Abstract: According to the problem that the traditional Chan algorithm performance will be greatly affected in actual NLOS environment,a new improved arithmetic of TDOA location based on neural network is presented.This algorithm has better location effect by modifying error in NLOS.The simulation results show that the proposed method has better accuracy and convergence rate than conventional Chan algorithms and it is a kind of effective location algorithms.

Abstract: The process of vehicle plate image location from the car image is a key process in the intelligent vehicle plate recognization system .This paper presents an arithmetic named jump model location arithmetic after the study of classic image segment and location arithmetic. The jump model location arithmetic can make the recognization system robust ,and promotes the location correct rate and process time ,and reduces the process time.

Abstract: PURPOSE:To calculate an accurate location distance by finding and correcting an error in location distance due to a transmission time difference of transmission to respective terminals of a fault phenomenon which is caused by a difference in distance from the fault point to the respective terminals. CONSTITUTION:Terminal equipments A1 and B1 are provided at an A terminal and a B terminal and voltage and current quantities measured by those terminals are transmitted to a center device C as data, which are used to locate a fault point by vector arithmetic based upon a prescribed location arithmetic system. The difference in 1st distance between the terminals and the fault point which is found by a location arithmetic expression is found and multiplied by a coefficient to find the 1st deviation quantity of the location distance, this deviation quantity is added to the 1st short distance or subtracted from a 1st long distance to find a 2nd distance, and the difference in a 2nd distance is multiplied by a coefficient to find the 2nd deviation quantity of the location distance. Similar processing is repeated (n) times to find an (n)th deviation quantity, which is used as a compensated value, thereby locating the fault point.