The new venture analysis is the foundation of venture development. In this paper, 14 venture prototypes are proposed based on the attributes of venture.Then, a new venture analysis method is discussed by the way of ma...The new venture analysis is the foundation of venture development. In this paper, 14 venture prototypes are proposed based on the attributes of venture.Then, a new venture analysis method is discussed by the way of matching the new venture with the corresponding prototype. Considering the fuzziness of human subjective grading, the L-R fuzzy numbers are used to express the variables and corresponding fuzzy algorithm are applied in analysis. At the end, an application example is applied to indicate the effectiveness of the method.展开更多
Traditional watermark embedding schemes inevitably modify the data in a host audio signal and lead to the degradation of the host signal.In this paper,a novel audio zero-watermarking algorithm based on discrete wavele...Traditional watermark embedding schemes inevitably modify the data in a host audio signal and lead to the degradation of the host signal.In this paper,a novel audio zero-watermarking algorithm based on discrete wavelet transform(DWT),discrete cosine transform(DCT),and singular value decomposition(SVD) is presented.The watermark is registered by performing SVD on the coefficients generated through DWT and DCT to avoid data modification and host signal degradation.Simulation results show that the proposed zero-watermarking algorithm is strongly robust to common signal processing methods such as requantization,MP3 compression,resampling,addition of white Gaussian noise,and low-pass filtering.展开更多
文摘The new venture analysis is the foundation of venture development. In this paper, 14 venture prototypes are proposed based on the attributes of venture.Then, a new venture analysis method is discussed by the way of matching the new venture with the corresponding prototype. Considering the fuzziness of human subjective grading, the L-R fuzzy numbers are used to express the variables and corresponding fuzzy algorithm are applied in analysis. At the end, an application example is applied to indicate the effectiveness of the method.
基金supported by the Open Foundation of Jiangsu Engineering Center of Network Monitoring(Nanjing University of Information Science&Technology)(Grant No.KJR1509)the PAPD fundthe CICAEET fund
文摘Traditional watermark embedding schemes inevitably modify the data in a host audio signal and lead to the degradation of the host signal.In this paper,a novel audio zero-watermarking algorithm based on discrete wavelet transform(DWT),discrete cosine transform(DCT),and singular value decomposition(SVD) is presented.The watermark is registered by performing SVD on the coefficients generated through DWT and DCT to avoid data modification and host signal degradation.Simulation results show that the proposed zero-watermarking algorithm is strongly robust to common signal processing methods such as requantization,MP3 compression,resampling,addition of white Gaussian noise,and low-pass filtering.
