Java EE Technologies Research Articles

Popularization of science in colleges and universities in the new network media environment based on artificial intelligence

By introducing new network media and artificial intelligence technology into the field of science popularization in colleges and universities, this research strives to solve the practical problems of science popularization websites that are large but not distinctive in the current era, and tries to improve the social impact and economic benefits of such science popularization platforms, so as to promote platform innovation and break away from the stereotyped system design form. Through the establishment of a science popularization system for colleges and universities, the mainstream content management can be achieved, and the differentiation management between the main station and the substation can be completed. The platform design is implemented by Java EE technology, carrying multi-functional module components, completing the componentized configuration of the system, which can be developed sustainably and has good security. The university science popularization system can operate stably in most environments, and the security management measures are strict. It can take multiple means to effectively protect the security of information, and it is simple and easy to implement. It can be seen from the design of simulation experiment that this promotion system, through the design of hybrid recommendation strategy, can_ UserCF and SBBRM_ Based on the advantages of Doc2Vec algorithm, the accuracy and coverage of system recommendations are improved, making it more universal. And the hybrid recommendation results can be compared with the main recall model to prove the efficiency of the system. This paper introduces artificial intelligence technology into the field of science popularization in colleges and universities, so as to realize the system design and improvement based on the new network media environment.

Intelligent anti-corrosion expert system based on big data analysis

PurposeThe paper aims to develop an intelligent anti-corrosion expert system based on browser/server (B/S) architecture to realize an intelligent corrosion management system.Design/methodology/approachThe system is based on Java EE technology platform and model view controller (MVC) three-tier architecture development model. The authors used an extended three-dimensional interpolation model to predict corrosion rate, and the model is verified by cross-validation method. Additionally, MySQL is used to realize comprehensive data management.FindingsThe proposed anti-corrosion system thoroughly considers a full use of corrosion data, relevant corrosion prediction and efficient corrosion management in one system. Therefore, this system can achieve an accurate prediction of corrosion rate, risk evaluation, risk alert and expert suggestion for equipment in petrochemical plants.Originality/valueCollectively, this present study has important ramifications for the more efficient and scientific management of corrosion data in enterprises and experts’ guidance in controlling corrosion status. At the same time, the digital management of corrosion data can provide a data support for related theoretical researches in corrosion field, and the intelligent system also offers examples in other fields to improve system by adding intelligence means.

Towards a Framework for Evaluating Technologies for Implementing Microservices Architectures

Microservice architecture is an architectural style, which allows structuring software as a suite of fine-grained services, each running in its process and deployed independently. Knowing the strengths and limitations of this architectural style, the development team is responsible to select the appropriate technologies which guarantee the consistency between the implementation and the design. This study proposes an evaluation framework which consists of a set of evaluation criteria that are architectural patterns recognized by the community and covering all the implementation aspects of software; and an evaluation function which combines these criteria for a given technology to determine its compatibility score with the microservice style, while taking into account the specific requirements of the software under development. Applying this approach to Spring Boot and JAVA EE technologies, we found that Spring Boot scores 96.3% while JAVA EE scores 44.4%. These scores reflect the effort required to conform software with the principles of this development style.

Application of a technology based on JavaEE in National Rural Environmental Health Monitoring Information Management System

To establish a national rural environmental health monitoring information management system supporting the application and management of four levels of data at the county, municipal, provincial and national levels, to realize the inter-departmental and cross-platform interconnection service of the national environmental health monitoring information management system. JavaEE and BS architecture platform, Web Service, XML and other data application and exchange service technologies were used to set data entry and audit functions, such as logic verification, extreme value verification and inter-table relationship verification for key variables, and also used to make the computer interface automatically configured. The functions of data entry, audit, exchange, historical data query and download, system management and maintenance, monitoring system feedback, data reporting progress of the national rural environmental health monitoring information management system across different departments and platforms can be realized by the JavaEE technology. The national rural environmental health monitoring information management system was simple in operation and friendly in interface, and had a good application prospect in the field of public health monitoring data management.

Research of E-map System Based on Baidu Map API for University Campus

With the rapid growing of universities, the campus infrastructure continues to expand. Visitors are not clear the position of their destination. Traditional online mapping service updating not timely can only supports customers to browse and query incomplete description of the destination. In this paper, a spatial information inquiry system of campus is designed based on Baidu map API with JavaEE technologies. The system can provide the basic map function for almost all important things on campus. Based on this method, Beijing Union University campus E-map has been developed successfully, which demonstrates the feasibility of this solution.

The Siebog multiagent middleware

This paper presents Siebog, a software framework and an execution environment for the development of software agents. Built using the standard Java EE and HTML5 technologies, it provides all the benefits of clustered computing on the server, as well as platform-independence on the client. The tight integration of the two development paradigms has resulted in a system that also provides heterogeneous agent mobility, cross-platform messaging, and code sharing.

Mathematical Formula Computing Based on JavaEE and MATLAB

This article describes a method of the implementation of mathematical formula computing software system, which is a B/S structure system using Java EE technology. By this system, web user can get the result of a mathematical formula in case of inputting the Latex format.

Extensible java EE-based agent framework and its application on distributed library catalogues

The paper presents the new agent framework XJAF and its application on distributed library catalogues. The framework is based on the Java EE technology and uses the concept of the plug-ins for implementation of the basic framework components. One important plug-in of the agent framework has been introduced into this system: the inter-facilitator connection plug-in, which defines how multiple facilitators form an agent network. The inter-facilitator connection plug-in is particularly important in both design and implementation phases in the field of distributed library catalogues. In order to substantiate the above statement, the framework has been used for implementation of the agent-based central catalogue of the library information system BISIS. Also, the framework has been used to implement the agent-based metadata harvesting system for the networked digital library of theses and dissertations (NDLTD). Both systems have been implemented at the University of Novi Sad.

Component meets service: what does the mongrel look like?

Computing with services has attracted much attention as a promising approach for developing distributed applications. The approach is often advertised as being superior to distributed component-based software engineering (CBSE), because it provides a higher potential to bridge heterogeneous IT application and infrastructure landscapes. It facilitates cross-institutional cooperation, lets services run over all kinds of ubiquitous communication infrastructure, scales better and simplifies legacy software integration. If this were absolutely true, there would be no reason for a consortium of major vendors of service and Java EE technology to come up with a new specification, called service component architecture (SCA). This emerging standard tries to leverage service-oriented architecture (SOA) principles with component-based software development techniques. In this article we discuss some commonalities and fundamental differences of the CBS and SOA worlds. We illustrate SCA briefly using snippets of an ongoing case study based on an e-university federation. Then we elaborate on the qualities and current deficits of SCA in the light of CBSE findings and related works.