为了解决传统模糊评价模型在船舶风险评估中多仅适用远距离场景,以及缺乏考虑《国际海上避碰规则》(International Regulations for Collision Avoidance at Sea,COLREGs)等问题,提出一种改进的模糊评价法,用于计算水面无人艇(unmanned ...为了解决传统模糊评价模型在船舶风险评估中多仅适用远距离场景,以及缺乏考虑《国际海上避碰规则》(International Regulations for Collision Avoidance at Sea,COLREGs)等问题,提出一种改进的模糊评价法,用于计算水面无人艇(unmanned surface vessel,USV)的碰撞危险度。该方法采用四元船舶领域确定模型中的安全距离,并通过行动域模型明确模型中碰撞威胁距离。同时,将两船是否构成紧迫危险局面引入到碰撞危险度的计算中。实验结果表明,改进后的方法能够适用于近距离水域的USV碰撞危险度计算,同时满足COLREGs的要求和航海避碰实际情况。展开更多
In this work we propose efficient codec algorithms for watermarking images that are intended for uploading on the web under intellectual property protection. Headed to this direction, we recently suggested a way in wh...In this work we propose efficient codec algorithms for watermarking images that are intended for uploading on the web under intellectual property protection. Headed to this direction, we recently suggested a way in which an integer number w which being transformed into a self-inverting permutation, can be represented in a two dimensional (2D) object and thus, since images are 2D structures, we have proposed a watermarking algorithm that embeds marks on them using the 2D representation of w in the spatial domain. Based on the idea behind this technique, we now expand the usage of this concept by marking the image in the frequency domain. In particular, we propose a watermarking technique that also uses the 2D representation of self-inverting permutations and utilizes marking at specific areas thanks to partial modifications of the image’s Discrete Fourier Transform (DFT). Those modifications are made on the magnitude of specific frequency bands and they are the least possible additive information ensuring robustness and imperceptiveness. We have experimentally evaluated our algorithms using various images of different characteristics under JPEG compression. The experimental results show an improvement in comparison to the previously obtained results and they also depict the validity of our proposed codec algorithms.展开更多
文摘为了解决传统模糊评价模型在船舶风险评估中多仅适用远距离场景,以及缺乏考虑《国际海上避碰规则》(International Regulations for Collision Avoidance at Sea,COLREGs)等问题,提出一种改进的模糊评价法,用于计算水面无人艇(unmanned surface vessel,USV)的碰撞危险度。该方法采用四元船舶领域确定模型中的安全距离,并通过行动域模型明确模型中碰撞威胁距离。同时,将两船是否构成紧迫危险局面引入到碰撞危险度的计算中。实验结果表明,改进后的方法能够适用于近距离水域的USV碰撞危险度计算,同时满足COLREGs的要求和航海避碰实际情况。
文摘In this work we propose efficient codec algorithms for watermarking images that are intended for uploading on the web under intellectual property protection. Headed to this direction, we recently suggested a way in which an integer number w which being transformed into a self-inverting permutation, can be represented in a two dimensional (2D) object and thus, since images are 2D structures, we have proposed a watermarking algorithm that embeds marks on them using the 2D representation of w in the spatial domain. Based on the idea behind this technique, we now expand the usage of this concept by marking the image in the frequency domain. In particular, we propose a watermarking technique that also uses the 2D representation of self-inverting permutations and utilizes marking at specific areas thanks to partial modifications of the image’s Discrete Fourier Transform (DFT). Those modifications are made on the magnitude of specific frequency bands and they are the least possible additive information ensuring robustness and imperceptiveness. We have experimentally evaluated our algorithms using various images of different characteristics under JPEG compression. The experimental results show an improvement in comparison to the previously obtained results and they also depict the validity of our proposed codec algorithms.
