Redirigiendo al acceso original de articulo en 24 segundos...
ARTÍCULO
TITULO

Features of the information system development for preferential meals accounting for primary school students

E.E. Istratova    
D.N. Dostovalov    
P.V. Lastochkin    

Resumen

One of the topical issues in the management of educational institutions is the issue of automating the accounting and control processes of funds allocated by the state to reimburse food costs for students with benefits. To study this situation, a study of primary education institutions in the city of Novosibirsk was carried out. The article presents the results of not only the analysis of the tools used to automate the accounting of the number of students receiving reduced-price meals, but also the design of a prototype information system for accounting for reduced-price meals. To implement these tasks, based on the results of the study, a functional model of reporting on the use of budgetary funds was designed, taking into account which an information system was developed to account for the actual costs of meals for students with benefits. A distinctive feature of the created system is that reporting can be considered in the context of types of benefits, sources of funding, age of children and other criteria. This suggests that the developed solution can be used as a basic tool for organizing reduced price meals in other educational organizations.

 Artículos similares

       
 
Chunling Wang, Tianyi Hang, Changke Zhu and Qi Zhang    
The Czech Republic is one of the countries along the Belt and Road Initiative, and classifying land cover in the Czech Republic helps to understand the distribution of its forest resources, laying the foundation for forestry cooperation between China and... ver más
Revista: Applied Sciences

 
Yimin Ma, Yi Xu, Yunqing Liu, Fei Yan, Qiong Zhang, Qi Li and Quanyang Liu    
In recent years, deep convolutional neural networks with multi-scale features have been widely used in image super-resolution reconstruction (ISR), and the quality of the generated images has been significantly improved compared with traditional methods.... ver más
Revista: Applied Sciences

 
Jiayao Liang and Mengxiao Yin    
With the rapid advancement of deep learning, 3D human pose estimation has largely freed itself from reliance on manually annotated methods. The effective utilization of joint features has become significant. Utilizing 2D human joint information to predic... ver más
Revista: Applied Sciences

 
Adil Redaoui, Amina Belalia and Kamel Belloulata    
Deep network-based hashing has gained significant popularity in recent years, particularly in the field of image retrieval. However, most existing methods only focus on extracting semantic information from the final layer, disregarding valuable structura... ver más
Revista: Information

 
Changhong Liu, Jiawen Wen, Jinshan Huang, Weiren Lin, Bochun Wu, Ning Xie and Tao Zou    
Underwater object detection is crucial in marine exploration, presenting a challenging problem in computer vision due to factors like light attenuation, scattering, and background interference. Existing underwater object detection models face challenges ... ver más