Research On The Management System Of Self-study Process For Wisdom Laboratory Context

With the high speed of development in mobile Internet Tech.& context awareness field,a huge number of mobile terminals and intelligent devices have come into our daily life.At the present stage of computer Tech.development,it's mainly used for changing our life into Intelligent Time,how to get better life this significant target,rather than simply using them.At the tide of development in context awareness intelligent service,schools' self-study context awareness platform,this field has become many researchers' aim.Self-study platforms and intelligent campus,it's also a kind of universal application in universities.The varieties of activities for the unified management,it makes sense in realization of the campus online management,campus resources sharing,intelligent management of students and other functions,and strive to create a scientific and efficient intelligent platform.The function of various application systems by researchers' are not the same,but the range of study is in campus,research activities is campus activities.Based on this background,This system research go into the laboratory and the object of study is refined to a learning process.It is based context awareness Tech.and inference.The research is the process that for students involved in the laboratory self-study smart reminders service.The object of physical space that context awareness system research on is the campus inside.The main research on wisdom-laboratory situational information,the object of reminders' service is process of the students that involved in the laboratory self-study.The wisdom laboratory is the main situation in the wisdom campus,is the main platform for post graduated students self-study.The concept of wisdom laboratory in the socalled "wisdom" refers to the laboratory situational information through a variety of sensors and applications can be perceived by reasoning techniques to realize user learning intelligent reasoning state,finally able to recommend intelligent services for users.The process of self-study is an all brand new style system.Learners all study by themselves.They won't be affected by other reasons or bad environment,it's also a new study style different from the traditional study model.The process of self-study is the main study model for most college students.the advantages of self-study is that learners can follow to their own strengths,preferences,choose learning content for their own needs,active learning process in the learning process of students more clearly their learned content learning.The disadvantage is that there is no teacher guidance in the process of active learning,learning orientation,learning content may deviate from the key content,the learning process may also lead to low efficiency because of not self disciplined thinking.Based on the review of context awareness tech,ontology inference and collaborative filtering algorithm at home and abroad,this paper analyzed the students' independent learning process in the wisdom laboratory,and makes a detailed description and classification of the laboratory scene.This paper uses the use protégé to build the ontology modeling of scene information,designs the reasoning rule base,and reasons the situation of learners in the laboratory environment by Jena to recommend reminder service for the learners,and make the whole autonomous learning process to be intelligence and efficiency.Finally,this paper set up the development environment system,including raspberry pi faction,server and Android smart phone APP to achieve the collection,processing,and upload to the server storage of perception of the data.The system achieves the remind service,views the environmental data,analysis the learning process status analysis,and can automatically control the desktop environment equipment to improve the learning environment.The main work of this paper is as follows:(1)The detailed description of the situation information in the campus laboratory environment,the experimental information is described mainly,and the ontology model is established.The campus scene information has the campus location information,the campus time scene information,the laboratory environment scene information,the user situation information,the laboratory equipment scene information etc.(2)To collect the campus situation information using context awareness technology,enrich the campus scene information,the system through the combination of the mobile terminal,Raspberry Pi and various sensors and other equipment to collect user context information,collecting information is no longer single,services are more abundant and accurate,the user of facial expression recognition and environment the scene will be gotten in the service of collected bank.(3)Building service rule and to analyze the collected situation information,and use the ontology inference algorithm to provide the user with the user's time,position,environment and equipment status information,and reminder service.From the facial expression information,time information,environmental information,equipment information collection,the user's study state will be analyzed,and the content of learning recommendation service and study plan for the users will be based on collaborative filtering algorithm.(4)To obtain the data of relevant information,the experiment made a recommendation to the learners through the server and verified the feasibility of system.