Assessment of Power Plant Based on Unsafe Behavior of Workers through Backpropagation Neural Network Model

Safety is an essential topic for electric power plants. In recent years, accidents caused by unsafe behaviors of electric power plant employees are frequent. To promote the sustainable development and safety of electric power plants, studies on the assessment of unsafe behavior are becoming increasingly important and urgent. In this study, accident statistical analysis, literature review, and expert survey are adopted to select more comprehensive and accurate assessment indicators of unsafe behavior of the workers in electric power plants. Data about indicator and unsafe behavior were obtained through a questionnaire survey, and 27 indicators were used as inputs, and the unsafe behavior was taken as the output of a backpropagation (BP) neural network based unsafe behavior assessment model. An assessment indicator system about power plant workers’ unsafe behavior composed of 4 first-level indicators and 27 second-level indicators was established and the weights of the assessment indicators were determined. A three-layer feedforward BP neural network assessment model of “27-13-1” layers was found to be a suitable model. The proposed model can demonstrate the nonlinear complex relationship between the assessment indicator and the unsafe behavior of power plant workers. The model can be helpful to evaluate, predict, and monitor the safety performance of electric power plants.

Assessment of the Development of the Stock Market in the Russian Federation in a Crisis

The article analyzes the literature and provides an assessment of the development of the stock market in the Russian Federation between 2016–2020. Today, the process of improving electronic technologies for carrying out operations in the stock market is also a continuing segment of the financial market. A methodology for assessing the development of the stock market in the example of the Russian Federation is proposed, with a description of the essence of the assessment indicator, the calculation formula and the threshold value. According to the results of the assessment and to the author’s proposed methodology, measures are proposed to improve the work of the stock market.

Investigating Positive Perceptions of High School Students' Distance Learning Experiences During a Pandemic

COVID-19 has driven pedagogical transformation in the most unexpected and sudden way in education history. Students must switch from face-to-face to distance learning. Trough quantitative research model, this study aims to describe high school students' perceptions of distance learning. Samples were collected from school which might prepare their students for distance learning. Using a questionnaire data collection technique, a sample of 70 high school students received 40 questions derived from three perceptual indicators, namely absorption, understanding, and assessment. The results of this study's absorption, understanding, and assessment indicator scores which were higher than the median indicated that students' perceptions of distance learning were typically positive. This occurs as a result of collaboration between students, teachers, and school staff to accomplish effective distance learning.

Case Study of Expected Loss Failure Mode and Effect Analysis Model Based on Maintenance Data

Failure mode and effect analysis (FMEA) is one of the most widely employed pre-evaluation techniques to avoid risks during the product design and manufacturing phases. Risk priority number (RPN), a risk assessment indicator used in FMEA, is widely used in the field due to its simple calculation process, but its limitations as an absolute risk assessment indicator have been pointed out. There has also been criticism of the unstructured nature and lack of systematicity in the FMEA procedures. This work proposes an expected loss-FMEA (EL-FMEA) model that organizes FMEA procedures and structures quantitative risk assessment metrics. In the EL-FMEA model, collectible maintenance record data is defined and based on this, the failure rate of components and systems and downtime and uptime of the system are calculated. Moreover, based on these calculated values, the expected economic loss is computed considering the failure detection time. It also provides an alternative coefficient to evaluate whether or not a detection system is installed to improve the expected loss of failure. Finally, a case study was conducted based on the maintenance record data, and the application procedure of the EL-FMEA model was presented in detail, and the practicality of this model was verified through the results.

Update of river health assessment indicator system, weight, and assignment criteria in China

Comprehensive assessment of river health is challenging due to the diversity of rivers, the complexity of their ecosystem and functional service. This paper updates the river health assessment indicator system, weight, and assignment criteria in China by reviewing and examining the peer-reviewed literature. We propose an indicator system, weight and criteria, validated by 9 case studies and able to assess the country-scale river health. Our analysis shows that the rule layer of indicator system includes hydrology, water quality, aquatic organism, physical habitats, and functional service; its corresponding weights are set to 0.15, 0.21, 0.18, 0.22, and 0.24 respectively. The ten selected indicators are most representative for incorporating the indicator layer with their corresponding weights. The evaluation based on case studies shows that in 8 out of 9 cases, our results are consistent with those obtained by previous studies. Therefore, the suggested index system, weight and three-assessment criteria are well suited for the complex cases in China. This paper can serve as a reference for a river health assessment and present a comprehensive listing of assessment criteria.

SUSTAINABILITY ANALYSIS OF REUSED INDUSTRIAL BUILDINGS IN CHINA: AN ASSESSMENT METHOD

The sustainable development of old industrial buildings is in line with the national construction strategy and has an important impact on current urban renewal. Only by achieving a unified balance among economic, social, and environmental factors can reused industrial buildings be considered sustainable. However, there are no relevant sustainability assessment indicators and methods for reused industrial buildings in China. The purpose of this study was to provide a reasonable and effective method for assessing the sustainability of reused industrial buildings. First, this study analysed the factors influencing reused industrial building sustainability through a project investigation. Second, based on the assessment indicator setting procedure, the sustainability assessment indicator system for reused industrial buildings was optimised. Moreover, a multi-level sustainability assessment model based on extenics was established to identify the correlation functions of indicators with different attributes. Finally, a case was considered to verify this assessment method. The results showed that this assessment method in good agreement with the actual state of the case was validated to be more effective and practical. The assessment method could provide a basis for decision-making to improve sustainability and could be adopted by relevant rating agencies to determine the sustainability level of reused industrial buildings.

METHODOLOGY FOR THE MULTI-CRITERIA EFFICIENCY ASSESSMENT OF CARGO CUSTOMS COMPLEXES

Operation efficiency assessment of cargo customs complexes located throughout Ukraine and having different technical, technological and organizational support levels can be made based on various technical and economic performance indicatorsThe paper develops the methodology for a comprehensive efficiency assessment of customs infrastructure facilities as an integral system of local measures and system performance indicators as a whole. Forming the integral criterion and the generalized integral criterion, we take into account the parameters of the benchmark cargo customs complex.The developed methodology for multi-criteria efficiency assessment of customs infrastructure facilities makes it possible to identify the groups of technical and economic performance indicators, to rank the technical and economic performance indicators according to the significance of their influence on the final generalized efficiency indicator; to form a vector with the parameters of the benchmark cargo customs complex; to determine the generalized efficiency assessment indicator of a cargo customs complex according to each group of factors; to determine the integral and generalized integral indicator of the operation of a cargo customs complex