Applied-Information Technology in Intelligent College Dormitory Assignment Strategy

Jing Wang; Lin Yan Xue; Qian Zhang

doi:10.4028/www.scientific.net/AMM.707.497

Paper Titles

The Error Analysis of the Chirp Radar Waveforms Based on DDS Technology
p.476

A Method for Selecting Emergency Response Model of Disruptive Incident Based on Cloud Model
p.480

An Improved Close Value Method for Multi-Sensor Object Recognition
p.487

Data Processing in Model of the Bank Credit Risk Assessment Based on Asset Assessment
p.493

Applied-Information Technology in Intelligent College Dormitory Assignment Strategy
p.497

Applied-Information Technology in Multi-Agent Simulation in Securities Market Modeling
p.501

Improved COPRAS Method and Application in Material Selection Problem
p.505

A Material Selection Method Based on Double Base Points
p.509

Information Processing for Analysis of Consumption Flexibility of Global Natural Gas Demand
p.514

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 707Applied-Information Technology in Intelligent...

Applied-Information Technology in Intelligent College Dormitory Assignment Strategy

Abstract:

Under the impact of applied-information technology, the colleges have gradually realized the information management. In recent years, with the continuous expansion of the scale of universities, the security incidents caused by students and external social factors have emerged one after another. Many accidents happen in the dormitory. How to rationally assign dormitories and to reduce the unsafe incidences in schools is an important issue in the management of college students. This paper attempts to combine the personal characteristics of college students and the intelligent algorithms to allocate dormitories for college students from a more scientific and smarter perspective. Our algorithm have achieve excellent results and provided a new theoretical basis for the applied-information technology in management of students.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 707)

Pages:

497-500

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.707.497

Citation:

Cite this paper

Online since:

December 2014

Authors:

Jing Wang*, Lin Yan Xue, Qian Zhang

Keywords:

Applied-Information Technology, Dormitories Assignment, Safety Management of College Students

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Chen Yang, Halidan·Abudureyimu, Yiliyaer·Dawuti, Yaliqin·Alimas: Uyghur text classification based on weighted improved Bayes. Computer Engineering and Design, Vol. 35, No. 6: 1999-(2003).

Google Scholar

[2] Chen J, Huang H, Tian S, et al. Feature selection for text classifi-cation with nave Bayes. Expert Systems with Applications, 2009, 36 ( 3) : 5432-5435.

DOI: 10.1016/j.eswa.2008.06.054

Google Scholar

[3] Malik H, Fradkin D, Moerchen F: Single pass text classification by direct feature weighting. Knowledge and Information Systems, 2011, 28 ( 1) : 79-98.

DOI: 10.1007/s10115-010-0317-9

Google Scholar

[4] Joint Intelligence. Joint Staff, (2007).

Google Scholar

[5] Dong Wen-ming, Kong De-yong: Supervised Semi-definite Embedding algorithms for classification. Journal of Changchun University of Technology(Natural Science Edition), 2014(3): 325-329.

Google Scholar

[6] S T Roweis, L K Saul: Nonliear dimensionality reduction by locally linear embedding. Science, 2000, 290: 2323-2326.

DOI: 10.1126/science.290.5500.2323

Google Scholar