Wenjun Yao

Wenjun Yao

Software developer at Unit4 R&D AS

Location
Oslo Area, Norway
Industry
Dataprogramvare

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Wenjun Yao sin oversikt

Nåværende
  • Software developer i Unit4 R&D AS
Tidligere
  • Software developer i Diagnostica AS
  • Developer i China Electronics Technology Group Corporation
Utdanning
  • University of Agder (UiA)
  • University of Electronic Science and Technology
Forbindelser

28 forbindelser

Wenjun Yao sin erfaring

Software developer

Unit4 R&D AS

Public Company; 1001-5000 employees; U4AGR; Dataprogramvare industry

April 2011Present (2 years 3 months)

In Unit4 R&D AS, we create software management tools for our product.

We have created cool MMC snap-in and powerShell provider for server, database and local machine configuration.

Software developer

Diagnostica AS

August 2009March 2011 (1 year 8 months) Oslo Area, Norway

Developer

China Electronics Technology Group Corporation

August 2003May 2007 (3 years 10 months) Shijiazhuang, Hebei, China

Wenjun Yao sine publikasjoner

  • Application of OFDM Technology in Troposcatter System

    • RADIO ENGINEERING OF CHINA
    • February 1, 2007
    Authors: Wenjun Yao

    The bottleneck of troposcatter system is how to handle with the huge capacity.This paper presents a method to solve the problem by using OFDM technique,because OFDM can make more efficient use of the limited frequency resource.The paper introduces the method from the aspects of guard interval,frame format,number of carriers and timing,presents a feasible scheme aiming to the feature of troposcatter system,and discusses the problem of frequency correction as well.It is proved that this method can fully realize the long distance and huge capacity troposcatter communication.

  • The CBM implementation in the industry

    • Application Research of Computers
    • July 1, 2010
    Authors: Wenjun Yao

    The condition-based maintenance (CBM) is becoming a very popular topic in the industry field in the world. A qualified CBM system is capable to detect the potential problem in the system by analyzing the real-time data, and purpose a feasible solution. As the result, the system breakdown time, which direct affects the lost and cost, can be reduced dramatically. And it also can reduce the need of traditional system maintenance. In this article, an example of CBM implementation is introduced, which by employing the genetic algorithm to extract the data character and by using the machine-learning technique to analyze the system situation.

Wenjun Yao sine kurs

  • Software developer

    Unit4 R&D AS

    • Smart SQL (1 days)
    • Test-Driven Development (5 days)

Wenjun Yao sin utdanning

University of Agder (UiA)

Master of Computer Applications (MCA), Information Technology

20072009

Grad: A-

University of Electronic Science and Technology

Bachelor's degree, Computer Systems Networking and Telecommunications

19992003

Grad: B-

Ytterligere informasjon om Wenjun Yao

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