Data mining (DM), as a new technology in the information age, is applied to modern audit work, which is more effective than traditional audit methods. In view of the problems existing in traditional tax audit methods, such as the huge amount of audit data, limited knowledge and experience of auditors, and difficult tracking of audit data, this paper uses computer-aided audit technology to collect, clean up, convert, and analyze data, comprehensively uses data warehouse technology, pattern recognition method, data analysis method, and anomaly detection theory as research methods, and makes a comprehensive study on tax affairs. Then, a random forest (RF) algorithm is used to establish the classification and identification model of audit risk. Second, based on the RF algorithm, the audit early warning framework of accounts receivable and payable in enterprise financial sharing mode is constructed, and the financial data and business data in enterprise financial sharing mode are extracted by using big data technology. The comparison of the results shows that the RF model has higher prediction accuracy and better robustness, which can better improve the antirisk ability of listed companies in China.
In this study, three new mixed refrigerants with low GWP values, R1234yf/R134a, R1234yf/R125, and R1234yf/R13I1, were evaluated as replacements for R134a refrigerant using two vapor compression configurations. The experiment revealed that these mixtures can be used as environmentally friendly alternatives for this configuration.
The main purpose of this paper was to investigate the influence of air temperatures (T), air velocity (v), and blanching time(ô) on the behavior of Tenebrio molitor when a closed system heat pump dryer is used to dry the sample to equilibrium water content (dry basis water content is 12.5%). The T was 40, 50, and 60 °C, the v was 2, 3, and 4 m/s, and the ô was 15, 30, and 45 s. And the quality of Tenebrio molitor was measured every 15 minutes.We also established a mathematical model to predict the drying process. Altogether, six selected thin-layer mathematical drying models were compared to assess the drying process based on the coefficients of determination (R2), root mean square error (RMSE), and the sum of the squared error (SSE). The results showed that the drying time can be shortened as T, v and ô increased, and the T and v had greater effects on the drying time compared with the ô. There are three stages throughout the drying process, the constant speed stage was the shortest, and the decelerated stage played a leading role. Among six selected thin-layer mathematical drying models, the Midilli model (R2=0.9997) was superior to others in describing the drying curves of tenebrio molitors. The experimental data of MR was in agreement with the prediction results of Mildilli model.
This paper presents a novel schematic diagram of a multi-functional air-conditioner (NMFAC) with four operating modes to enhance energy efficiency and increase equipment utilization. A prototype was designed to test the performances according to Chinese condition standards. The results indicated that the NMFAC could run reliably all year round. In summer and winter, the space cooling and heating capacity were in normal ranges, with an average space cooling performance (COPsc) and heating performance (COPsh) of 2.73 and 3.58, respectively. In the water-heating only mode in season and out of season, the mean water heating performance (COPwh) varied from 2.97 to 4.2 under typical conditions as hot water was heated from 15 °C to 55 °C. In condensing heat recovery mode, the average COPwh and COPsc were 4.54 and 4.30, respectively, and the overall performance (COPcw) was up to 8.84.
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