This paper aims at introducing a new improved stochastic differential equation related to Gompertz curve for the projection of vehicle ownership growth. This diffusion model explains the relationship between vehicle ownership and GDP per capita, which has been studied as a Gompertz-like function before. The main innovations of the process lie in two parts: by modifying the deterministic part of the original Gompertz equation, the model can present the remaining slow increase when the S-shaped curve has reached its saturation level; by introducing the stochastic differential equation, the model can better fit the real data when there are fluctuations. Such comparisons are carried out based on data from US, UK, Japan, and Korea with a time span of 1960-2008. It turns out that the new process behaves better in fitting curves and predicting short term growth. Finally, a prediction of Chinese vehicle ownership up to 2025 is presented with the new model, as China is on the initial stage of motorization with much fluctuations in growth.

Human resource management is an important part of business management. Through a set of scientific and effective management methods, human resource management for all employees and business owners of the enterprise. This research aims to explore how to use a large number of data mining and information technologies to solve the problems existing in the company’s human resource management. This course mainly studies the application of a large number of data mining theories, human resource management theory, the technical background of data mining, data mining process and analysis methods, analysis of their potential relationships, and existing problems, to improve the enterprise human resource management department the decision-making ability provides a reference. First, summarize the characteristics of the human resources market business, and compare the existing data mining algorithms. Here, a C4.5 algorithm in the decision tree algorithm is used to apply the job search information of the company’s recruitment of talents to scientifically analyze the information, during the selection and processing, and then the processing results are given to the C4.5 algorithm, and the corresponding decision tree is obtained. The results of this article show that the use of data mining technology can well solve corporate human resource management problems, such as the wages and benefits of corporate employees. Through big data analysis, it is easy to know that the salary of most doctoral diplomas is about 9,500 yuan, and the most salary for a college diploma is about 3,000 yuan (in remote areas). And according to your diploma, your major and benefits are different. Therefore, the human resources department of the enterprise can better discover talents.

Abstract:In the context of the urban agglomeration and the rapid development of rail transit, the planning of the Beijing-Tianjin-Hebei Region (BTHR) rail transit 2020 is attracting attention. The BTHR is a natural disaster-prone area and a high-risk area for terrorist attacks; the robustness of the area is critical to the sustainable development of North China. Therefore, it is necessary to analyze the vulnerability of the regional planning rail transit network. This paper builds a model of planning regional rail transit in BTHR. A critical node recognition measure is designed according to the connectivity reliability of nodes. The method of Monte Carlo simulation of node connectivity reliability is applied based on link connectivity probability. In addition, a model of detecting multi-measure recognition and detecting Core-Nodes is proposed. Finally, the paper analyzes the impact of multiple attack modes on the network performance from the aspects of network performance within region and transit demand outside the region, and analyzes the vulnerability of the BTHR planning rail transit network.

This study demonstrates that a wastewaterdriven microbial electrochemical process greatly facilitates traditional rate-limiting urea hydrolysis and efficiently recovers ammonium and phosphate nutrients from source-separated urine. Using both synthetic and diluted actual urine and wastewater, 76−87% of nitrogen and 72−93% of phosphorus were continuously removed from source-separated urine and collected in recovery solutions. The acceleration of hydrolysis and nutrient recovery were driven by the electrical potential generated during wastewater treatment. The efficient nutrient recovery is attributed to the increase in the rate of hydrolysis induced by continuous ammonium migration and removal, which alleviates storage, health, and operational issues associated with the utilization of urine. Further investigations of removal behaviors of micropollutants under electrochemical conditions will be performed.