Operating Environment Assessment of the Coalface in Underground Coal Mining Based on Analytic Hierarchy Process (AHP) and Matter-Element Theory (MET)

The environmental evaluation of the coalface in underground mining is of great significance to the safety of production and the health of miners. In order to achieve the objective and accurate evaluation of the operating environment of the coalface, the indexes of temperature, humidity, noise, illuminance, dust, harmful gas, and wind speed are selected to construct the environment evaluation index system, and the operating environment evaluation model of the coalface based on analytic hierarchy process (AHP) and matter-element theory (MET) is established. Firstly, the operation environment classification criterion is established; the environment objects, joint domain, and classical domain mater-element are built; and the correlation function is calculated. Secondly, the comprehensive correlation matrix is calculated and the environmental grade is judged. Finally, from the broad point of view, three measures are proposed to improve the operation environment of the coalface: development of the environmental evaluation index monitoring system, improvement on miners’ safety awareness, and formulation of regulations and policies for coal mine operation environment. The research results can provide guidelines for miners, coal mining enterprises, and occupational environmental safety departments.

Space Charge Accumulation Phenomena in PI under Various Practicable Environment

Polyimide is widely used insulation materials, such as power equipment, motor windings, multi layer insulated, and so on. As the operation environment is high temperature, high humidity, radiation, the dielectric insulation characteristic is decreased compared with pristine one. Especially, the space charge characteristics are obtained big different. Furthermore, the breakdown phenomenon is frequently produced. In this chapter, we discuss the dielectric phenomena through the viewpoints of charge accumulation under the following environment. High temperature, High humidity, DC application, PWM application, Radio-active rays (electron, proton).

Safety Management Strategies for Cross-railway Interchange Widening Project in Highway Reconstruction and Extension

Under the background of rapid social and economic development, the traffic volume of highways has increased, which has brought tremendous pressure to the old highways. In response to this situation, the original highway must be reconstructed and extended. It is necessary to focus on the analysis and exploration of the methods of interchange reconstruction and extension in current highway reconstruction and extension to avoid affecting normal traffic, as it will inevitably have an impact on the traffic operation environment. For this situation, it is necessary to analyze and understand the format and characteristics of traffic organization of the interchange operation area in time and propose corresponding safeguard measures.

PUBLIC ENTERPRISES LAW REQUIREMENTS FOR DISCLOSURE OF FINANCIAL AND NON-FINANCIAL INFORMATION

The purpose of this report is to systematize the requirements of the regulatory framework for public enterprises regarding the disclosure of certain financial and non-financial information about their activities and resources management. An analysis of the nature of the required information leads to the conclusion that it is significantly closer to the concept of integrated reporting, where the activity, internal processes, the Company operation environment could be presented in their integrity and correlation.

Applying DevOps Practices of Continuous Automation for Machine Learning

This paper proposes DevOps practices for machine learning application, integrating both the development and operation environment seamlessly. The machine learning processes of development and deployment during the experimentation phase may seem easy. However, if not carefully designed, deploying and using such models may lead to a complex, time-consuming approaches which may require significant and costly efforts for maintenance, improvement, and monitoring. This paper presents how to apply continuous integration (CI) and continuous delivery (CD) principles, practices, and tools so as to minimize waste, support rapid feedback loops, explore the hidden technical debt, improve value delivery and maintenance, and improve operational functions for real-world machine learning applications.