Redirigiendo al acceso original de articulo en 19 segundos...
ARTÍCULO
TITULO

Designing an Adaptive Electronic Document Management System Based on Neural Network Architecture

Artem Obukhov    

Resumen

The article deals with the issues of design automation of adaptive electronic document management systems. Automation of the processes of analysis, processing and transmission of information in the development of information systems will reduce the complexity of implementation, time and material costs, free up the resources of developers to solve more complex and creative problems. One of the ways to automate these processes is the use of machine learning methods, however, without a formalized methodological and mathematical apparatus, it is impossible to provide a comprehensive solution to the problem. The article describes the approbation of a neural network architecture, including a set of approaches and methods based on neural network technologies, using the example of the subject area of electronic document management systems (EDMS). The structure of an adaptive EDMS, implemented in accordance with this architecture, is presented. In the course of experimental research, two test EDMS were implemented: the classical one, developed according to the RAD methodology and the MVC pattern, and the adaptive one, the design of which was carried out within the framework of a neural network architecture. As a result, a decrease in the cost (by 24.7%) and complexity (by 32.5%) of the EDMS implementation was achieved, and the adaptability of the system was increased (by 13.6%). There is also an improvement in its quality and an increase in productivity. The results obtained confirm the effectiveness of the proposed approaches and tools.

 Artículos similares

       
 
Lei Nie, Qifeng Wang, Mingxuan Zhang and Libing Wu    
Optimizing traffic signal timing can effectively alleviate urban traffic congestion. However, most of the existing signal timing methods struggle to deal with conflicting traffic flows in heavy traffic; therefore, more effective methods are urgently requ... ver más
Revista: Information

 
Yuxin Zhao, Hengde Zhao, Yanlong Liu and Xiong Deng    
Marine adaptive sampling is a technique that makes full use of limited observation resources by selecting the optimal positions. Recently, the design of an adaptive sampling scheme based on a mobile platform has become a research hotspot. However, adapti... ver más

 
Sara Mosleh, Mulat Alubel Abtew, Pascal Bruniaux, Guillaume Tartare and Yan Chen    
The researchers propose a new design technique to develop an adaptive 3D model for a spine affected by scoliosis. We used 3D scanning technologies to create a model accurate enough for various applications in the textile industry. The developed adapted 3... ver más
Revista: Applied Sciences

 
Duck Young Yoon and Jeong Hee Park    
Vibration analysis using the component mode method has been less popular than before, since computers are powerful enough to solve complicated structures by a single large finite model. However, many structural engineers designing local structures on a s... ver más

 
Un-Chang Jeong    
The present study on vibration reduction in systems wherein the excitation frequency is variable designed and fabricated a magnetorheological elastomer (MRE)-based tunable dynamic vibration absorber and evaluated its performance in an experimental manner... ver más
Revista: Applied Sciences