This paper proposes a personalized knowledge map construction method to facilitate knowledge map construction in knowledge management systems. Knowledge map is an important tool in knowledge management systems. Considering the classification habits, the providing of the personalized knowledge map can make the knowledge searching more easily. The tagging reflects the user’s classification habits. Moreover, the words in the tags reflect the user’s word using habits. Therefore, we proposed an approach to the personalized knowledge map construction. Firstly, the documents are pre-processed including eliminating the stop words and stemming the word. Secondly, the KNN algorithm is modified, in which both the vector similarity and the tagging similarity are used to calculate the similarity between the documents. Finally, the topic identification methods of the clusters are proposed. Afterwards, we evaluate the personalized knowledge map construction methods. The results show that the personalized knowledge map gets a good satisfaction.
The phase-shifted full bridge zero voltage soft switch (ZVS) topology of 2.2KW electric operation power supply is analyzed in brief. According to the actual characteristics of electric power supply, the power MOSFET and the second rectifier-diode are chosen. By waveform analysis, temperature and power efficiency test, the experimental results confirm the reasonableness of the design.
A single-stage PFC converter was introduced in this paper, then the converter EMI filters, converters inductors, high-frequency transformers and power components were designed and chosen, proven to good effect.
It is important to conduct a regular study on the status and the needs of the users’ demand, along with the development of Xinjiang electronic government (E-government). Literature reviews show that researches on Chinese E-government tend to focus on the technical aspects. However, there is little research focused on the E-government users, especially of Xinjiang. This article provides a better scope of knowledge on the Xinjiang E-government users and their demand to use and benefit from E-government information and services.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.