Author(s)
Yibin Hou, Department of information, School of Software Engineering, Beijing University of Technology, Beijing, China
Jin Wang, Department of information, School of Software Engineering, Beijing University of Technology, Beijing, China

Abstract
The purpose of this paper is intelligent education. Methods The Internet of Things is used to study the employment of teachers'certificates for postgraduate entrance examination. The result is that the Internet of Things promotes the development of teachers' certificates for postgraduate entrance examination and employment. The conclusion is that intelligent education is feasible.

Keywords
Intelligence education, Internet of things, teachers' postgraduate entrance examination, employment

Cite this paper
Yibin Hou, Jin Wang, Research on Teachers' certificates and employment postgraduate entrance examination papers under the Internet of things, SCIREA Journal of Education. Vol. 4 , No. 3 , 2019 , pp. 62 - 148 .

References

[ 1 ]	Jin Wang. No-reference Video Quality Assessment Model Considering the Network Packet Loss. Shijiazhuang Tiedao University, 2015.
[ 2 ]	Hou Y, Wang J. QOS-QOE Energy Saving Optimization Model for Wireless Sensor Networks. Journal of Sensor Technology and Application[ All journals mentioned in the references should be italic. Please check all your references and revise.], 2018, 6(2), 50-57.
[ 3 ]	Hou Yibin, Wang Jin. LS-SVM research under the Internet of things. Computer knowledge and technology, 2017, 13(10), 145-146.[ Journal Articles: 1. Author 1, A.B.; Author 2, C.D. Title of the article. Abbreviated Journal Name, Year, Volume, page range, DOI. Available online: URL (accessed on Day Month Year). Please check all your references and revise.]
[ 4 ]	Wang Jin. Research on distributed communication in wireless sensor networks under Internet of things. new communication in China, 2017, 19(11), 10-12.
[ 5 ]	Liu Sujing, Yang Lin, Wang Congqing. Recognition of aircraft cockpit signals based on kernel principal component analysis and support vector machines. Journal of Southeast University (NATURAL SCIENCE EDITION), 2008, 38 (s, II): 123-127.
[ 6 ]	Wang J, bin Hou Y. No-Reference Network Packet Loss Video Quality Assessment Model Based on LS-SVM //Recent Developments in Intelligent Systems and Interactive Applications. Springer International Publishing, 2016: 403-410.
[ 7 ]	Yi Bin Hou, Jin Wang. No-reference video quality assessment model considering the network packet loss based on Least squares support vector machine under the Internet of things. 14th IEEE International Conference on Advanced and Trusted Computing, IEEE ATC 2017 conference, 2017, 1(1), 1-8.
[ 8 ]	Wang J, Yi bin Hou. Packet loss rate mapped to the quality of experience. Multimedia Tools and Applications, 2016: 1-36.
[ 9 ]	Yi bin Hou. Jin Wang. Investigation at the QOE and Packet Loss Rate of the IOT Network. American Journal of Data Mining and Knowledge Discovery, 2017, 2(1), 1-16.
[ 10 ]	Yi bin Hou. Jin Wang. QOE forecast under the Distributed Internet of things. Advances in Cloud and Internet of Things, 2017, 5(2), 1-9.
[ 11 ]	Yi bin Hou. Jin Wang. Investigation on Mapping model of packet loss rate and the Quality of experience. International Journal of Current Trends in Engineering & Technology, IJCTET, 2017, 2(6), 1-4.
[ 12 ]	Jin Wang. Mapping model of packet loss rate and the Quality of experience. INTERNATIONAL CONFERRENCE on INFORMATION SCIENCE and INTELLIGENT CONTROL, 2015, 1(1), 34-48.
[ 13 ]	Jin Wang. Packet loss rate mapped to the Quality of experience. INTERNATIONAL CONFERRENCE on INFORMATION SCIENCE and INTELLIGENT CONTROL, 2015, 1(1), 29-33.
[ 14 ]	Jin Wang. The influencing factors of network packet loss’s long-range dependence affect the packet loss rate and futher the QoE. INTERNATIONAL CONFERRENCE on INFORMATION SCIENCE and INTELLIGENT CONTROL, 2015, 1(1), 23-28.
[ 15 ]	Wang, Jin, and Yi bin Hou. INVESTIGATION ON THE INTERNET OF THINGS. INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY, IJESRT, 2016, 1(1), 1-20.
[ 16 ]	Yi bin Hou. Jin Wang. Investigation of the IOT Network of Packet Loss’ S Long-Range Dependence and QOE. Machine Learning Research, 2017, 2(1), 1-16.
[ 17 ]	Stoica, I, Morris R, Karger D, et al. Chord: A scalable peer-to-peer lookup service for internet applications. ACM SIGCOMM Computer Communication Review, 2001, 31 (4): 149-160.
[ 18 ]	Yibin Hou *, Jin Wang. Research on Intelligent Flight Software Robot Based on Internet of Things. Global Journal of Technology and Optimization, 2017, 8(2), 1-11.
[ 19 ]	Yibin HOU*, Jin WANG. Research on P2P algorithm of Chord under Internet of things. 2017 2nd International Conference on Applied Mechanics, Electronics and Mechatronics Engineering, 2017, 1(1), 326-331.
[ 20 ]	Yibin HOU*, Jin WANG. Algorithm model and performance evaluation of P2P network system under the internet of things. 2017 2nd International Conference on Communications, Information Management and Network Security, 2017, 1(1), 308-313.