We present here the analysis of the whole-genome sequence of Pseudomonas stutzeri strain DSM4166, a diazotrophic isolate from the rhizosphere of a Sorghum nutans cultivar. To our knowledge, this is the second genome to be sequenced for P. stutzeri. The availability and analysis of the genome provide insight into the evolution of the nitrogen fixation property and identification of rhizosphere competence traits required in interactions with host plants.
Speech tampering may be aided by the resampling operation. It is significant for speech forensics to effectively detect the resampling; however, there are few studies on speech resampling detection. The purpose of this paper was therefore to provide a new training ideal to detect speech resampling. After resampling, the speech signal changes regularly in the time–frequency domain. In this paper, we theoretically analyzed the corresponding relationship between time domain and frequency domain of the resampled speech. Compared with the original speech, the bandwidth of resampled speech was stretched or compressed. First, the spectrogram was generated by short-time Fourier transform (STFT) from the speech. Then, the local binary pattern (LBP) operator was applied to model the statistical changes in the spectrogram and the LBP histogram was calculated as discriminative features. Finally, a support vector machine (SVM) was applied to classify the developed features to identify whether the speech had undergone the resampling operation. The experimental results show that the proposed method has superior detection performance in different resampling scenarios than some existing methods, and the proposed features are very robust against the commonly used compression post-processing operation. This highlights the promising potential of the proposed method as a speech resampling detection tool in practical forensics applications.
Image rotation is a common auxiliary method of image tampering, which can make the forged image more realistic from the geometric perspective. Most algorithms of image rotation angle estimation employ the peak value on the Fourier spectrum; however, JPEG post-processing brings additional peak interferences to the spectrum, which has a great impact on algorithm performance. In this paper, angle estimation is carried out for images compressed by JPEG. Firstly, the Fourier cyclic spectrum of image covariance is calculated, followed by semi-soft threshold wavelet transform to eliminate the block artefacts brought by JPEG compression. According to the shortest distance principle in the range of the limited amplitude, the processed cyclic spectral data are sorted to select the peak points. Finally, according to the selected peak point, the corresponding position coordinates of the theoretical peak point are found, and the rotation angle of the image is estimated by the theoretical peak point. Experimental results demonstrate that the average absolute error of the proposed algorithm is significantly lower than that of the state-of-the-art methods investigated, which highlights the promising potential of the proposed method as an image resampling detector in practical forensics applications.algorithm. In general, the EM algorithm can only judge whether the image was resampled or not, but it cannot estimate the resampling factor quantitatively. Furthermore, depending on the periodicity of the interpolation signal and its derivative, Mahdian et al. [6] introduced Radon transform to analyze the change in covariance statistics and detect the rotation angle of an image. The Radon transform algorithm can only judge the rotation operation of the image qualitatively, but it cannot estimate the concrete rotation angle. In order to solve the problem of the above algorithm not being able to estimate the resampling factor, Gallagher et al. [7] estimated the scaling factors of images based on the fact that interpolation signals (linear and cubic interpolation) would introduce periodicity to the second derivative on variance. However, the defect of this algorithm lies in the inaccurate estimation of the image scaling factor and the inability to detect down-sampling operations. To avoid this problem, Wei et al. [8] improved Gallagher's algorithm, derived a detection formula for image down-sampling, and proposed a method to estimate rotation angle. However, the method was only limited to the detection of single resampling, and no rigorous theoretical proof was given for the formula of peak position. Vazquez-Padin et al.[9] applied a second-order cyclostationary method to detect the periodicity caused by resampling. Chen et al. [3,10] improved the theoretical derivation and experimental results of Vazquez-Padin et al. [9], and the further derivation of double resampling was presented. However, it resulted in larger errors when the rotation angle was small. Reference [11] exposed the resampling traces by increasing the gap between image a...
According to the development and construction of the "new engineering disciplines", the training requirements for talents and the construction of digital content security course are discussed in this paper. Based on the current development situation, this paper clarifies the tightness of digital content security and the development of "new engineering disciplines". The digital content security course has both a complete frontier theoretical system and close correlation with various new engineering disciplines. Combining these two characteristics, this paper proposes three aspects of construction: comprehensive social resources, the formation of a new curriculum teaching system, and the creation of a digital content security gold course; further introduction of school-enterprise cooperation, promotion of the combination of production and education, practical and targeted activities; training of students’ ability to master and apply digital content security and promotion of the construction of applied undergraduate programs.
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