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This article focuses on the Russia-led Eurasian Economic Union (EAEU) and China's Belt and Road Initiative (BRI). It argues that EAEU members and China need each other to implement their two major initiatives. As a result of the conjunction of the EAEU and BRI, China and the EAEU states linked their transportation infrastructure, which provided them opportunities for modernization and growth. The EAEU member states established contacts with the second economy of the world at a multilateral level as well. The Agreement on Economic and Trade Cooperation between the Eurasian Economic Union and Its Member States, of the One Part, and the People's Republic of China, of the other Part , signed in 2018, which came into force in 2019, provided added impetus to strengthen economic relations and created a legal platform for the further harmonization of the BRI with the EAEU. This article also argues that the conjunction of the EAEU and BRI has a political meaning as well. It means that in post-Soviet Eurasia, Russia and China have chosen cooperation over competition, as they are the main initiators of these economic and political integration initiatives. It explains that it fully coincides with the national interests of other members of the EAEU, such as Armenia, Belarus, Kazakhstan, and Kyrgyzstan, as these states can cooperate with both Russia and China without choosing any side. This contribution concludes that cooperation between China and the EAEU in post-Soviet Eurasia improves security level and contributes to peaceful, cooperative development. [ABSTRACT FROM AUTHOR]

In today's society, the application of multimedia data is increasing, and the accompanying data security is also an important issue. This paper will analyze the data security of multimedia network based on routing algorithm. The advantages of wireless local area networks (WLAN) and ad hoc networks are combined in wireless mesh networks (WMNs), which have steadily grown to be a reliable method of wireless broadband access. The application of multi RF and multi-channel technology improves the performance of WMN. However, the limitation that includes the number of wireless network interface cards and channels in the network, results in the great challenges ofrouting and channel allocation in multi RF and multi-channel WMN. Based on AODV algorithm, this paper proposes a new cross layer routing algorithm which is JRCA-AODV algorithm. The simulation results demonstrate that the JRCA-AODValgorithm can successfully increase multiRF multi-channel WMN throughput while lowering packet loss rate and network delay. Take the packet rate of 8 Mbps as an example, the network throughput based on JRCA-AODV algorithm is 1.14 times that of MRMC-AODV algorithm, the packet loss rate based on JRCA-AODV algorithm is 14.06% lower than that of MRMC-AODV algorithm, and the network time delay based on JRCA-AODV algorithm is 14.27% lower than that of MRMC-AODV algorithm. At the same time, JRCA-AODV algorithm can effectively reduce the probability of data loss caused by the competitive and shared access mechanism of the channel, improve the success rate of data transmission, thus reduce the probability of data eavesdropping and tampering in the process of repeated transmission, and improve the security of multimedia network data.This will provide a new direction for promoting the idea of multimedia data security. [ABSTRACT FROM AUTHOR]

Take the 3D reconstruction of underwater targets as the background, this study proposes an experimental design plan for the three-dimensional reconstruction of underwater targets based on monocular vision. First, a monocular camera is used to rotate and shoot an underwater object from multiple angles without the need to pre-calibrate the camera to generate an initial set of image inputs. Then, problems such as a decrease in the number of feature point extractions in the underwater image, an increase in the mismatch ratio due to color distortion, and low contrast ratio, by using the proposed feature matching SIFT HC method, the gray difference between pixels and the color contrast between pixels are minimized by bimodal distribution function to obtain the gray image to be matched. On this basis, Helinger distance is used as similarity measure for feature matching to effectively maintain the original image color contrast, improve the number of effective feature points in adjacent images, and eliminate the false matching point pairs to improve the matching rate of feature points. Finally, the 3D point cloud is reconstructed to effectively restore the surface details of the target object. Experimental results show that the experimental equipment is simple, without pre-calibrate the camera, and can effectively restore the 3D structure and surface details of the target object in view of the color distortion of the underwater image. [ABSTRACT FROM AUTHOR]

The series of BaBi Pb O(0 ≤ y≤1) has been synthesized by high-temperature solid-state reaction. X-ray and selected area electron diffraction data indicate that BaBi Pb O(0 ≤ y≤ 0.88) crystallizes in space group P1 and BaBi Pb O (0.93 ≤ y≤1) crystallizes in space group Imma. The samples with the nominal formula BaBi Pb O( y = 0.70, 0.80, 0.90) shows superconductivity with transition temperature ( T) around 11 K. When BaBi Pb O (0 ≤ y≤0.80) was treated with KOH and KF at 450 C, the corresponding samples with the nominal formula Ba KBi Pb O (0 ≤ y≤ 0.80) were obtained, which shows superconductivity with T changing from 30 to 11 K. [ABSTRACT FROM AUTHOR]