Because the image has the characteristics of large amount of information and high redundancy, the traditional AES, DES and other encryption methods applied to text and numbers can not be effective. Chaotic sequence algorithm has natural similarity with cryptography, such as extreme sensitivity to initial value, ergodicity, non-periodicity, pseudo-randomness and very high iterative rate. as a result, the encryption of chaotic sequence algorithm in the field of electronic conference image will be better than the traditional encryption method, and it has become a new direction to solve the problem of electronic conference image encryption. However, the limited computer accuracy will also reduce the randomness of chaotic sequences. in order to make up for this defect, this paper uses the idea of hybrid encryption to design a more secure and efficient hybrid chaotic sequence encryption algorithm.
KEYWORDS: Decision support systems, Mathematical modeling, Intelligence systems, Power supplies, Data centers, Signal processing, Machine learning, Lithium, Information fusion, Data processing
Aiming at the problems of data confusion and poor management effect of the technical and economic decision support platform system for power grid infrastructure construction, the planning and design method of the technical and economic decision support platform system for power grid infrastructure construction is proposed. The k-means algorithm is used to optimize the system decision function, build a decision analysis model, and implement the platform system planning and design according to the dynamic changes among multiple entities. Experiments show that the clustering time of this method is less than 1 min, and the technical and economic decision support platform system of power grid infrastructure construction project can effectively screen and manage massive data to ensure the quality of decision.
In the design process of distribution network projects, factors such as environment and project size need to be considered. This paper focuses on the inspection of the design quality of distribution network projects of 10kV and below. Firstly, the principle of quality inspection is given; secondly, the design content of 10kV and below distribution network projects is analyzed; then targeted inspection is carried out; finally, the experimental verification is carried out. The experimental results show that the use of the inspection technology in this paper can effectively detect the abnormal points of the design quality of the distribution network project of 10kV and below and improve the design quality of the distribution network project, which has certain advantages.
KEYWORDS: Data fusion, Clouds, Data processing, Particles, Data storage, Data modeling, Fusion energy, Information fusion, Algorithm development, Visualization
The development of the physical information fusion technology, the explosive growth of data, it marks the power system has entered the era of big data, thus increasing the information platform of power system, dealing with the difficulty of data storage, management and analysis. And existing physical hardware and technical ability is difficult to adapt to the demand of the smart grid, large data analysis and control, so based on the knowledge map design grid cloud data fusion method is fast. The first grid cloud data collection and processing, the second grid cloud data integration framework is designed, based on the knowledge map design grid cloud data fusion algorithm quickly, so as to realize the fast integration grid cloud data. The experimental results show that the proposed fast data fusion method has good fusion effect and has certain application value.
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