The Optimization Analysis of Phishing Email Filtering in Network Fraud based on Improved Bayesian Algorithm

Mail transmission was not only the main function of information system, but also the main way of network virus and Trojan horse transmission, which has a key impact on the running state of information. In order to deal with the threats of network viruses and Trojans and improve the level of e-mail management, this paper studies the filtering of information system, and proposes a phishing e-mail filtering method based on Improved Bayesian model. MATLAB simulation results show that the consistency p between the amount of data sent by e-mail and the amount received is good, the consistency rate reached 92.3%. the data security level is 95%, encryption proportion / data proportion ratio under Bayesian optimization are higher than those of unfiltered method，which up to 97.2%. Therefore, the Bayesian optimization model constructed in this paper can meet the needs of phishing email filtering in information communication at this stage.

Optimization Analysis of Knowledge Label Personalized Dynamic Recommendation System Based on Artificial Intelligence Algorithm

There are many p roblems and shortcomings in traditional 3D modeling tech of environment design, and there is a great room for amelioration in reconstruction method and reconstruction precision. As an intelligent means integrating computer, info network and big data, CAD can create a more experiential and interactive environment design atmosphere. Based on this, this paper first analyses the concept and connotation of 3D modeling of environmental design, then studies the computer-aided environment design, and finally gives the 3D modeling tech of computer-aided environmental design.

Development of system typology and choice of preferred simulation modelling methods for DSS-toolkit

Formulated a position on the feasibility of developing and applying a highly developed simulation models of complex object within scope of justifying of managerial decisions. Selected set of classification factors that determine the performance of a typology of simulation methods. The article reveals the content of the applicable methods of simulation in relation to the procedure of organization of promotion in the model time. The existence of the problem of forming of the simulation method and its principal conceptual solvability by preparation and implementation of research optimization (analysis and/or synthesis of this method) is shown. An innovative extension of the set of these methods is introduced. The considerations concerning the preferred method for application for a certain category of object of modellings - the method of key model events are formulated. The problem of synthesis of a method of combination of group of methods of simulation is allocated.

Methodological foundations of innovative solutions in renewable energy engineering

Рассмотрен подход, позволяющий методами системного анализа исследовать энергетическую систему с возобновляемыми источниками энергии. Предлагается использовать возможности методов многокритериальной оптимизации, анализа и принятия решений при разработке системы моделей поступления и потенциала возобновляемых источников энергии, позволяющей учитывать особенности технологии преобразования энергии. We deal with the approach that makes it possible to investigate the energy system with renewable energy sources (RES) by methods of system analysis. We propose to use multi-criterion optimization, analysis and decision-making techniques in the development of a system of input and potential models for renewable energy sources that took into account the characteristics of energy conversion technology.

Synergy and Correlation Optimization Analysis of Innovation System and Institutional Governance System from the Perspective of Cluster Ecosystem

Innovation and institutional governance are the key enabling factors of cluster ecosystem development. Its synergistic effects play an important role in enhancing ecosystem competitiveness. In this paper, pseudocode language is applied to cluster ecosystem cooperative model reasoning. The coordination and optimization of the innovation system and institutional governance system were studied in a biomedical cluster. Besides, Pearson algorithm was used to test the correlation degree of elements in three Chinese biomedical clusters. The results show that, in Zhangjiang and Nanchang biomedical clusters, the synergistic correlation coefficient between the innovation system and the institutional governance system fluctuates around 0.8. However, in Tonghua biomedical cluster, the synergy correlation coefficient fluctuated around -0.2. The fluctuation range between the two clusters was large. After adjusting the range of order parameters, the rank of synergy trend was Zhangjiang > Nanchang > Tonghua. Finally, further analysis shows that Zhangjiang and Nanchang biomedical clusters can achieve the optimal synergy state by adjusting innovation and institutional governance, but Tonghua cannot. Therefore, the collaboration between the innovation system and institutional governance system provides some reference for the high-quality development of the cluster ecosystem.