In the multilevel thresholding segmentation of the image, the classification number is always given by the supervisor. To solve this problem, a fast multilevel thresholding algorithm considering both the threshold val...In the multilevel thresholding segmentation of the image, the classification number is always given by the supervisor. To solve this problem, a fast multilevel thresholding algorithm considering both the threshold value and the classification number is proposed based on the maximum entropy, and the self-adaptive criterion of the classification number is given. The algorithm can obtain thresholds and automatically decide the classification number. Experimental results show that the algorithm is effective.展开更多
Various technical studies have shown that impact-stiffness modulus values, defined as the ratio of the FWD （falling-weight deflectometer） impact load to its consequent central deflection, can be used to evaluate the...Various technical studies have shown that impact-stiffness modulus values, defined as the ratio of the FWD （falling-weight deflectometer） impact load to its consequent central deflection, can be used to evaluate the PCN （pavement classification number） of a particular flexible or rigid airport pavement, fn a previous study, use was made of the old dynamic stiffness modulus procedure developed by the USCOE （US Army Corps of Engineers）, this procedure was correlated with various FWD measurements conducted on several runways and taxiways in Israel, together with in-situ borings and the use of the new COMFAA-3.0 software. The results, obtained only for flexible pavements, were checked against the relevant results of full-scale trafficking tests conducted by the FAA （Federal Administration Aviation） at its National Airport Pavement Test Facility. The present study analyzes new FWD measurements and in-situ borings conducted on additional rigid and all-asphaltic runways and taxiways in Israel in order to formulate an updated correlative equation for these types of pavements. The paper concludes with an updated recommendation for the use of impact-stiffness modulus outputs from FWD measurements in order to determine the PCN of any type of pavement directly on the basis of local experience.展开更多
文摘In the multilevel thresholding segmentation of the image, the classification number is always given by the supervisor. To solve this problem, a fast multilevel thresholding algorithm considering both the threshold value and the classification number is proposed based on the maximum entropy, and the self-adaptive criterion of the classification number is given. The algorithm can obtain thresholds and automatically decide the classification number. Experimental results show that the algorithm is effective.
文摘Various technical studies have shown that impact-stiffness modulus values, defined as the ratio of the FWD （falling-weight deflectometer） impact load to its consequent central deflection, can be used to evaluate the PCN （pavement classification number） of a particular flexible or rigid airport pavement, fn a previous study, use was made of the old dynamic stiffness modulus procedure developed by the USCOE （US Army Corps of Engineers）, this procedure was correlated with various FWD measurements conducted on several runways and taxiways in Israel, together with in-situ borings and the use of the new COMFAA-3.0 software. The results, obtained only for flexible pavements, were checked against the relevant results of full-scale trafficking tests conducted by the FAA （Federal Administration Aviation） at its National Airport Pavement Test Facility. The present study analyzes new FWD measurements and in-situ borings conducted on additional rigid and all-asphaltic runways and taxiways in Israel in order to formulate an updated correlative equation for these types of pavements. The paper concludes with an updated recommendation for the use of impact-stiffness modulus outputs from FWD measurements in order to determine the PCN of any type of pavement directly on the basis of local experience.
