At present, the network connection scale in the communication and transmission system is expanding with the increasing traffic, it is not easy to process the data, which is inefficient and difficult to ensure the quality of service. In order to increase the system transmission capacity and make the processing more efficient, a lossless information embedding algorithm based on data reconstruction is proposed, according to the characteristics of large variance and discrete distribution of different image, text, and voice data in the communication transmission system. Combined with the data characteristics of each group, interval mapping is carried out for segmented data, which is reorganized by certain rules to increase the redundancy of this segment and expand the data embedding range. The proposed algorithm realizes the lossless embedding of information and the original carrier data and embedded information are recovered losslessly. Simulation results show that the algorithm expands the redundancy range of segmented data and increases the capacity of information embedding, which is suitable for different data transmission systems.
In recent years, as people pay more and more attention to the protection of cloud data, reversible data hiding in encrypted image (RDHEI) has become the focus of research. This paper proposes a hiding scheme based on pixel prediction and group marking. First, the cover image is pre-processed, including block, grouping, pixel prediction, etc. Then, the embedding method and position are selected according to the parameters, and the marked map is generated. Finally, we encrypt the image and embed data in the encrypted pixels according to the marker map to obtain an image for transmission. For the receiver, separable data recovery is performed based on the key. The correct rate of secret data extraction is 100%, and the cover image can be recovered without distortion. This method does not require auxiliary information during decryption, but the decryption quality is good. At the same time, the method provides two embedding methods to provide a high embedding rate. Therefore, this method has advantages in image decryption quality, embedding rate, and separability.
The establishment of a set of scientifically sound and operationally feasible Sustainable Development Goals(SDGs) indicator system is the core content of the UN's implementation of the SDGs2030 agenda. Internationally,especially some developed OECD countries have taken the lead in the construction of SDGs indicator system and carried out a series of practical application and effect evaluation in combination with specific national conditions,which has certain reference significance for the localized construction of SDGs indicator system in China.This paper systematically analyzes the paths and experience of the construction of SDGs indicators in Germany,the United Kingdom,the Netherlands,the United States,South Korea and other countries.It is suggested that China should speed up the research and establishment of a set of localized SDGs indicator system,establish and improve the regular publication system of national SDGs progress reports based on indicator monitoring and evaluation,strengthen the implementation ability construction and coordination mechanism of SDGs and enhance international exchanges and cooperation on the implementation of SDGs.
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