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A network performance evaluation algorithm is presented based on deep learning framework RNN on this paper. The algorithm collects 8 index parameters in the private LAN and realizes the automatic evaluation of the three levels of the private LAN: excellent, good, and unqualified. The results of the example verification and analysis show that the algorithm proposed in this paper evaluates the performance of the private area network using K-fold cross-validation. The correctness of the algorithm is over 90%. The robustness and high efficiency of the algorithm, the computing time of milliseconds, can be effectively applied to the real-time performance evaluation of the local area network.

Based on the features of the real estate industry, a cost model was established for analyze integration strategies. The analysis results show that a real estate enterprise should give a priority to integration of the business activities, of which the costs themselves are not large but which will greatly influence the whole project and other development business activities; and that the integration in a real estate enterprise is influenced by the product optimization degree, the business management capacity, and the degree of market competition. The integration in the real estate industry is influenced by the product optimization degree and the business management capacity, but it has nothing to do with the degree of market competition.

Numerous new construction and demolition and relocation projects in China associated with the rapid economic development have produced a large amount of construction and demolition (C&D) waste, which urgently calls for better and more efficient management. The generation of C&D waste is associated with the waste management on construction sites. Since many factors influence C&D waste management, it is necessary to make in-depth study of them in order to realize efficient C&D waste management. The purpose of this paper is to investigate the Critical Success Factors (CSFs) of C&D waste management in China. To address the issue of C&D waste management, the authors chose the building construction projects in the Pearl River Delta of China as the survey object. We conducted a questionnaire survey and semi-structured interviews with practitioners (e. g. , supervision engineers and structural engineers), researchers, and government officials for tackling C&D waste management. Based on the survey and the interviews, we identified Six CSFs for managing C&D waste: (1) C&D Waste Management Regulations; (2) Awareness of C&D Waste Management; (3) Low-waste Construction Technology; (4) Fewer Design Changes; (5) Research and Development in C&D Waste Management; and (6) Vocational Training in C&D Waste Management. These CSFs can serve as valuable references for building project actors to develop effective C&D waste management strategies. This research also provides information to reduce environmental pollution coming from C&D waste.

Cost management of construction project has experienced business accounting type, and control type management stage. But as the construction market becoming more mature, and the market-based products more competitive, now the cost management of construction project enters into the value creation management stage. If the construction enterprises only focus on target cost and responsibility cost management, it is difficult to carry out value creation effectively. This paper discusses how to adopt active incentive mechanism to encourage the agent to play initiative better and create more value under the circumstance of moral risk, determine the expected utility maximization parameters for construction project through the model optimization. This study found that incentive mechanism not only can make the agent more hard-working, but also is beneficial to improving the quantity of construction project. Finally, by providing numerical examples and analyzing the influence of variations of relevant parameters in incentive model, this paper has got comparatively satisfying results.