Current Issue : July-September Volume : 2022 Issue Number : 3 Articles : 5 Articles
This work aims to deliver the objective of developing an appropriate set of mathematical models and a relevant software program to calculate the voltage distribution and energy consumption of a Hall–Héroult reduction cell, together with a deeper understanding of the complex physical and chemical phenomena underlying the alumina electrolysis process. The work involves an analysis of the basic principles governing the alumina reduction process, the presentation of the sets of the applied mathematical equations to predict the main electrolysis bath physicochemical properties related to the cell voltage, the mass balance of the main cell material inputs and outputs, the energy consumption of the electrolysis cell and the estimation of the cell voltage distribution along the various cells consisting of elements. All the mathematical models were included in an easy-touse software to enable the aluminium cell operators and engineers to introduce and retrieve all the necessary cell operational data and study the effect of the key process parameters on the cell energy performance....
With the continuous development and maturity of information technology, the open methods and development results of software are enriched constantly. There are uncertain factors that may affect the cost of software development. The control of demand, the determination of the logical framework, and the vagueness and inaccuracy of business logic can all affect the development cycle of software. In this paper, the bit error rate and complexity are calculated by using the related algorithm based on the deep recursive least squares algorithm through the establishment of a collaborative engineering tool evaluation system. Under the same preconditions, the estimation performance of the deep recursive least squares algorithm is compared with that of the ideal channel based on the same foundation, and the deep recursive least squares algorithm is simulated through the simulation curve. In addition, the performance of the algorithm is analyzed. The evaluation criteria of four indexes for perception, synchronization, product, and coordination were put forward. The results of the study indicate that the proposed algorithm is effective and can support the engineering modeling of collaborative software....
In order to ensure high reliability, the efficiency of traditional aerospace software testing is often low. With the rapid development of machine learning, its powerful data feature extraction ability has great potential in improving the efficiency of aerospace software testing. Therefore, this paper proposed a software defect prediction method based on deep neural network and process measurement. Based on the NASA data set and combined with the software process data, the software defect measurement set is constructed. 35 measurement elements are used as the original input, and multiple single-layer automatic coding networks are superimposed to form the deep neural network model of software defect. The model is finally trained by the layer-by-layer greedy training method to realize software defect prediction. Experimental verification shows that the prediction method has a good prediction effect on aerospace software defects, and the accuracy rate reached 90%, which can greatly improve the efficiency and effect of aerospace software testing....
In order to ensure the normal operation of software electronic equipment and better guide the electromagnetic protection design of software electronic equipment, a set of computational models and numerical methods are needed to analyze the electromagnetic interference problems of electronic equipment. To this end, a new field-path hybrid time domain algorithm is adopted to simulate the electromagnetic interference of broadband electromagnetic signals to software electronic equipment in the time domain; the results are compared with those of the FDTD method to verify the correctness and efficiency of the algorithm. The average calculation time of FDTD is 478.3 min, while that of the field-path hybrid time domain algorithm is 46.5 min. The results show that the simulation effect of the field-path hybrid time domain algorithm is consistent with that of FDTD and saves a lot of memory and computation time, which proves the correctness and efficiency of the algorithm....
With the expansion of the scale and complexity of modern software systems, the failure rate of software projects remains high. One of the main reasons for the failure of software projects is the defects in processing software requirements. This paper proposes a software requirements engineer’s ability assessment method based on empirical software engineering to measure the matching degree between the software requirements engineer’s ability and industry expectations. First, collect the recruitment information of software requirements engineers from mainstream recruitment websites. Through natural language processing, the words related to the abilities of the software requirements engineer are counted. These words are summarized in the requirements acquisition, requirements analysis, and other SRE activities, then the industry expectations for various abilities are obtained. Later on, the authors collect the teaching settings of representative SRE courses, reflecting the software requirements engineer’s ability to learn the course. After that, this article defines the ratio of the industry expectation weight to the weight of each SRE activity in teaching as the software requirements engineer’s ability coefficient, which can intuitively reflect the matching degree between the software requirements engineer’s ability and industry expectations. Finally, take the national first-class undergraduate course “SRE” of Jinling Institute of Technology as an example to verify the method’s practicality to a certain extent....
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