scholarly journals Design and Implementation of Intelligent Learning System Based on Big Data and Artificial Intelligence

2021 ◽  
Vol 12 ◽  
Author(s):  
Yawen Yang

In order to improve the level of education development in remote areas of China, help minority schools to better play the advantages of multimedia network teaching resources provided by the state, and further improve the level of multimedia network management, a multimedia network teaching management system is studied and developed. The teaching information and business process of the school is analyzed, the division of the structure of the film and television multimedia information management system is completed, and the overall structure, functional structure, and database of the system are designed; Tornado technology, NoSQL database technology, jQuery technology, and Ajax technology are used to complete the development of the system. The results show that the real system can provide a highly automated platform for the school multimedia network-teaching management. The system makes the teaching staff work more efficiently and accurately. The results show that the system studied has a significant effect on the multimedia teaching of minority films and television. Using the characteristics of the combination of pictures, text, sound, image, and shadow, the knowledge can be shown to students intuitively, which is helpful to relaxed and happy learning of students and stimulate their desire to learn. Multimedia teaching has become an important teaching assistant tool. This exploration can provide theoretical support for the design of the network teaching information management system based on artificial intelligence, decentralize the complex network environment, and carry out decentralized management.

2005 ◽  
Vol 2005 (1) ◽  
pp. 321-328
Author(s):  
Julian Roberts ◽  
Alain Lamarche

ABSTRACT The Maritime Safety Authority of New Zealand (MSA) has a mandate to promote a safe and clean marine environment and to provide an effective marine pollution response capability. As part of its obligations, the MSA is responsible for the New Zealand Marine Oil Spill Response Strategy and the preparation of a National Marine Oil Spill Contingency Plan for Tier 3 spill events (Maritime Transport Act 1994, S.283). The MSA is currently working on the design of an extensive coastal information database—including information such as marine and natural resource inventories and coastal human-built infrastructures—that can be mapped in a GIS system. A customised toolset is also being developed to streamline the management of the database. The benefits of GIS-based information management systems in oil spill response have been demonstrated by a number of overseas response agencies. However, many of these rely on discrete components or only fulfil specific individual requirements, such as the provision of coastal resource information. Having reviewed these approaches, New Zealand has embarked on the development of a more integrated and comprehensive oil spill information management system that will deliver a broad range of applications and serve to provide a framework for the seamless management and reporting of all the types of data that are generated throughout the life cycle of an oil spill response. The system combines GIS and database technology. It includes field survey management support, as well as automated treatment mechanisms to produce reports and maps to support planning and operations. The system also integrates a pre-spill shoreline segmentation database. The benefits of such a system will include the recording and presentation of all types of response data that is more responsive to the needs of operational decision makers; the ability to better track the progress of spill cleanup activities in both a temporal and spatial context; and the generation of customised reports to assist in cost recovery claims on termination of response activities.


2014 ◽  
Vol 513-517 ◽  
pp. 2919-2922
Author(s):  
Li Jun Qiu ◽  
Jun Wen ◽  
Hong Zhuan Cai

This paper designs a meet the requirements of equipment repair information management system, to realize the scientific management of instruments and equipments. Based on RFID technology, database technology, information processing and transmission technology, we aimed to systemize the management over the equipment. The test showed that, the designed system meets the requirements, design management process equipment is stable and reliable, through the serial port and the read and write tag subroutine to achieve a good exchange of electronic tags and database information, and has the advantages of simple operation, convenient use, safety and protection measures of powerful and perfect. This system can greatly improve the working efficiency of the instrument and equipment management, equipment information management more accurate, standard and perfect, to meet the need of dynamic management of equipment effectively.


2021 ◽  
pp. 1-11
Author(s):  
Yanjie Zhu ◽  
Lizhi Zheng

In order to solve the security problems of the ideological and political teaching system itself, the ideological and political teaching information management technology needs to be further improved. According to actual needs, based on artificial intelligence and data security models, this paper studies and implements a network security information management system based on artificial intelligence and security models. The system can effectively manage the contents of safe work and increase the ability of information sharing and collaborative work. According to the actual needs of most current systems, with data mining, data recognition, and security management as the goals, this paper builds the structure of the functional modules and adopts the function cascade to finally realize the safety information management of this system. In addition, this article designs experiments to verify the performance of the model constructed in this article. The research results show that the model has good performance and meets actual needs.


2014 ◽  
Vol 687-691 ◽  
pp. 3145-3148
Author(s):  
Jin Ming Yao ◽  
Jun Jie Yang ◽  
Xiao Min Du

In order to clarify the relationship between concentrator and collector in some Transformer Regions, the transformer region customer information management system was proposed based on a low voltage power line carrier technology. The system consists of the customer information detection terminal and the customer information management software. Detection terminal achieves the detection of relationship between concentrator and collector, within the scope of the common variants, through power line carrier communication technology, and sends the information to the information management server. Customer information management software managed the information ,which came from the terminal, using a database technology and displayed the results sorted, achieving the functions of detection terminal—parameter settings, data management, communication function, management functions for user rights. GPRS mobile public transport networks were used to keep communication between the terminal and information management software.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhen Zeng ◽  
Longqi Qi

Human resources are the cornerstone of operational operation. Good management of human resource information can enable businesses to operate effectively. However, for the time being, most enterprises still use traditional methods of allocating human resources, which are difficult to meet the development needs of enterprises. In order to find the optimal allocation of human resources in an enterprise, this article is based on “Internet + artificial intelligence,” using methods such as case analysis and literature analysis to collect data from databases such as CNKI, Wanfang Database, and SSCI, and uses fog computing to build a model for the optimal allocation of human resources which is proposed, and a large number of relevant literature studies are read and analyzed through the literature survey method. According to the research needs, through the research and summary of the content of the literature, the research structure found that there are many problems in the current human resource information management system. After the optimization of models and algorithms, the allocation of human resources has been greatly improved. The matching rate of personnel and job positions has increased by more than 50%. The operation efficiency index of the enterprise is above 0.8, an increase of about 30%. This shows that “Internet + artificial intelligence” can effectively optimize the enterprise human resource information management system, promote the greater use of its human resource value, bring higher economic returns to the enterprise, and provide assistance for the long-term stable and healthy development of the enterprise.


2014 ◽  
Vol 651-653 ◽  
pp. 2514-2517
Author(s):  
Dong Ju Du ◽  
Hai Long Shao

In order to improve the efficiency and safety of the teaching information management of universities, this paper introduces the framework of the system based on ASP.NET and the main functions of each module, exploring the solutions for the key technological difficulties in the realization of the system. The system features are user-friendly, can improve the work efficiency, and have high reference value for developing other systems.


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