According to the characteristics of sonar image data with big data feature, In order to accurately detect underwater objects of sonar image, a novel adaptive threshold FCM (Fuzzy Clustering Algorithm, FCM) based on fr...According to the characteristics of sonar image data with big data feature, In order to accurately detect underwater objects of sonar image, a novel adaptive threshold FCM (Fuzzy Clustering Algorithm, FCM) based on frequency domain and time domain is proposed. Based on the relationship between sonar image data and big data, Firstly, wavelet de-noising method is used to smooth noise. After de-noising, the sonar image is blocked and each sub-block region is processed by two-dimensional discrete Fourier transform, their maximum amplitude spectrum used as frequency domain character, then time domain of mean and standard deviation, frequency domain of maximum amplitude spectrum are taken for character to complete block k-means clustering, the initial clustering center is determined, after that made use of FCM on sonar image detection, based on clustered image, adaptive threshold is constructed by the distribution of sonar image sea-bottom reverberation region, and final detection results of sonar image are completed. The comparison different experiments demonstrate that the proposed algorithm get good detection precision and adaptability.展开更多
针对Leach(low energy adaptive clustering hierarchy)协议在大规模网络中存在着数据传输效率不高和网络生命周期短的问题,提出了一种LEACH-CM-NGO优化算法。该方法通过在簇头选取阶段优化簇头数在所有节点中占比,引进能量密度因子和...针对Leach(low energy adaptive clustering hierarchy)协议在大规模网络中存在着数据传输效率不高和网络生命周期短的问题,提出了一种LEACH-CM-NGO优化算法。该方法通过在簇头选取阶段优化簇头数在所有节点中占比,引进能量密度因子和能耗因子改进阈值公式优化簇头分布,并在数据传输阶段,由原本的单跳传输改为多跳方式传输数据,引入基于立方映射方法,自适应权重策略和柯西变异的北方苍鹰优化算法改进簇头间数据传输路径,以提高网络的能效和数据传输效率。仿真结果表明,所提出的方法在减少能耗的同时,显著延长了网络的生命周期并提高了数据传输的成功率。展开更多
基金This work was supported by the National Natural Science Foundation of China (41306086), technology innovation talent special foundation of Harbin (2014RFQXJ105) and Fundamental Research Funds for the Central Universities (No.HEUCFR1121, HEUCF100606).
文摘According to the characteristics of sonar image data with big data feature, In order to accurately detect underwater objects of sonar image, a novel adaptive threshold FCM (Fuzzy Clustering Algorithm, FCM) based on frequency domain and time domain is proposed. Based on the relationship between sonar image data and big data, Firstly, wavelet de-noising method is used to smooth noise. After de-noising, the sonar image is blocked and each sub-block region is processed by two-dimensional discrete Fourier transform, their maximum amplitude spectrum used as frequency domain character, then time domain of mean and standard deviation, frequency domain of maximum amplitude spectrum are taken for character to complete block k-means clustering, the initial clustering center is determined, after that made use of FCM on sonar image detection, based on clustered image, adaptive threshold is constructed by the distribution of sonar image sea-bottom reverberation region, and final detection results of sonar image are completed. The comparison different experiments demonstrate that the proposed algorithm get good detection precision and adaptability.
文摘针对Leach(low energy adaptive clustering hierarchy)协议在大规模网络中存在着数据传输效率不高和网络生命周期短的问题,提出了一种LEACH-CM-NGO优化算法。该方法通过在簇头选取阶段优化簇头数在所有节点中占比,引进能量密度因子和能耗因子改进阈值公式优化簇头分布,并在数据传输阶段,由原本的单跳传输改为多跳方式传输数据,引入基于立方映射方法,自适应权重策略和柯西变异的北方苍鹰优化算法改进簇头间数据传输路径,以提高网络的能效和数据传输效率。仿真结果表明,所提出的方法在减少能耗的同时,显著延长了网络的生命周期并提高了数据传输的成功率。
