International Journal of Education and Management Engineering

О журнале:

International Journal of Education and Management Engineering (IJEME) is a peer reviewed journal in the field of Modern Education and Management Engineering. The journal is published 6 issues per year, and all papers will be blind reviewed. Accepted papers will be available on line (free access) and in printed version. No publication fee.

IJEME is a peer reviewed journal publishing refereed, high quality original research papers in all areas of education and management engineering. IJEME is also an open access product focusing on publishing conference proceedings, enabling fast dissemination so that conference delegates can publish their papers in a dedicated online issue.

IJEME has been indexed by several world class databases: Google Scholar, Microsoft Academic Search, Open Access Articles, Scirus, CNKI, CrossRef, JournalTOCs, etc...

The journal publishes original papers in the field of Education and Management Engineering covers, but not limited to the following scope:

Education Information Technology

Educational Technique standard

Network University

Computer Network Education

Computer Distance Learning

Computer Aided Instruction

Countryside Distance Learning

Special Crowd Computer Education

School Teachers Educational Technique Ability Training

The Teaching Resources' Design, Develops and Applies

Modern Distance Learning Resources Effective Applied Research

College Network Education Innovation Research

Educational Technique's Application in the Vocational-Technical Education

Teacher Educational Technique Training Studies with the Teacher Career Development

Digit Sports Research

New Technology in Teaching Domain Application

Classroom Instruction Research

Foreign Language Teaching Research

Mathematics Education Research

Physics Teaching Research

Chemistry Teaching Research

Management Science Teaching Research

Lifelong Education Research


Artificial Intelligent System

Control Technology

Production and operation management

Quality control and reliability

Logistics and supply chain management

Application of Systems engineering and Operational research

The safety management

Management of technology, innovation and evaluation

Financial engineering and risk management

Digital library management and technology

Knowledge acquisition, expert systems

Knowledge based systems to support database design

Knowledge management

Management Information Systems

Network culture and harmonious society

Object-oriented enterprise modeling

Organizational management

Project Management

Public Policy Management

Software copyright infringements

Systems analysis and design methods

Information economics

Information Quality and Strategy

Information resource management

Information systems planning and management

Information Technology and sustainable development of corporation

Information Technology Management

Economics of Information and System Security


Modern Education & Computer Science Press

Печатный 2305-3623. Электронный 2305-8463.

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Статьи журнала

Problem Solving, Computer Technology, and Students’ Motivation in Learning Mathematics

Problem Solving, Computer Technology, and Students’ Motivation in Learning Mathematics

Yixun Shi


In recent years, more and more attentions are given to developing problem solving skills and using computer technology in the teaching and learning of mathematics. Case studies, independent projects, and examples of applications of mathematics are used more and more frequently in mathematics classes in order to enhance students’ development in mathematical thinking and problem solving skills. Two examples of such studies are presented in this paper.


Research on Feature Selection Algorithm in Rough Set Based on Information Entropy

Research on Feature Selection Algorithm in Rough Set Based on Information Entropy

Guijuan Song

Статья научная

Rough set theory is an effective approach to imprecision, vagueness, and incompleteness in classification analysis and knowledge discovery .Attribute reduction is a key problem for rough set theory. While computing reduction according to the definitions is a typical NP problem. In this paper, basic concept of rough set theory is presented, one heuristic algorithm for attribution reduction based on conditional entropy is proposed. The actual application shows that the method is feasible and effective.


Study on Extenics Information Fusion Method

Study on Extenics Information Fusion Method

Li Zhong,Wang Ailing,Qi Furong

Статья научная

This paper makes analysis on theories of D-S evidential reasoning, rough sets and extenics sets, the three of which hold similarities in defining uncertainty sets. It’s feasible to introduce relevant theories and methods of extenics into information fusion and a method of extenics fusion (MEF) is presented as well. The method combines extenic correlation function with Dempster method and is considered to be a good solution in solving evidence collision and BPA function in information fusion method basing on D-S evidential reasoning. With the difference of transfer functions, the paper designs a method of extenics fusion. The simulation test results show that MEF is better than the traditional D-S evidential reasoning and is applicable to all kinds of evaluation problems.


Study on Algorithm of Digital Image Watermarking Based on DWT

Study on Algorithm of Digital Image Watermarking Based on DWT

Gou xin-ke, Lu ran-ni

Статья научная

In this article, watermarking algorithm is studied using digital watermarking technology based on the discrete wavelet (DWT) multi-resolution decomposition algorithm. Three-level wavelet decomposition is employed so that images are divided into three serial sub-graphs with high frequency band and one sub-graph with low frequency band. Since low-frequency information is more sensitive to human eyes than high-frequency information, watermarking is embedded into the high-frequency coefficients of the wavelet image. In our experiment, watermarking information is embedded into the original images by Matlab simulation. Besides, salt and pepper noise, Gaussian low-pass filter, amplifying 200% after narrowing 50% attack as well as JPEG coding are used to test the algorithm. Results show that our algorithm is robust and the visual effect is satisfactory.


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