Abstract In order to build a practical mini OA system for small and medium enterprise, key business, overall requirement, functional requirements and non-functional requirements of Yardi Kooboo (Xiamen) Technology Co.Ltd. are analyzed after understanding the company’s specific workflow and management processes. Following software engineering, the entire progress of building a WPF-based OA system includes functional module design, database design, achievement of three-tier architecture, achievement of... In order to build a practical mini OA system for small and medium enterprise, key business, overall requirement, functional requirements and non-functional requirements of Yardi Kooboo (Xiamen) Technology Co.Ltd. are analyzed after understanding the company’s specific workflow and management processes. Following software engineering, the entire progress of building a WPF-based OA system includes functional module design, database design, achievement of three-tier architecture, achievement of mail cache and so on. Deployment of this new OA system improves the level of information management and obtains good application effect. The development process provides good reference value for the development and research of similar systems. Read More Read Less

Abstract An important application of web usage mining is mining web log data, where the sequences of web pages accessed by various web users, over a period of time, are recorded on the web server. We propose a new optimized technique in realm of an e-learning site that pre-processes the web log data to recommend the best links for a learner to visit next.... An important application of web usage mining is mining web log data, where the sequences of web pages accessed by various web users, over a period of time, are recorded on the web server. We propose a new optimized technique in realm of an e-learning site that pre-processes the web log data to recommend the best links for a learner to visit next. We propose a novel methodology, by partitioning the database, on the basis of the learner’s knowledge level, to create a specialized suffix tree(s) from the existing sequences of previous ‘n’ learners’ path. Further to reduce the overhead of re-mining the web patterns from the whole web data, we propose that a web traversal pattern should be regarded significant, only if it qualifies the minimum threshold of length and frequency in the database. These significant patterns are added to generalize suffixes. These are then mined, using the most efficient mining algorithm after a comparative analysis of various algorithms, to find the most frequent navigation paths for recommendation to new learner. We conducted experiments in web log mining on a real case study of an Indian e-learning site. The proposed methodology is verified by experiments with promising results on computational time. This speed up obtained, in Web Pattern Mining, is a meaningful approach for building recommender based e-learning system, to predict the future learning paths. Read More Read Less

Abstract A test on students and teachers between CDIO engineering experimental class and normal class in the same grade was adopted through 16 PF(Personality Factor) Test and CDIO Comprehensive Capacity Evaluation Questionnaire(including teachers’ edition and students’ edition). The results showed as follows, students in experimental class exceed remarkably in normal class in gregariousness, stability, excitatory, Daring, experimental, introversion and extraversion, psychological health personality factor, and... A test on students and teachers between CDIO engineering experimental class and normal class in the same grade was adopted through 16 PF(Personality Factor) Test and CDIO Comprehensive Capacity Evaluation Questionnaire(including teachers’ edition and students’ edition). The results showed as follows, students in experimental class exceed remarkably in normal class in gregariousness, stability, excitatory, Daring, experimental, introversion and extraversion, psychological health personality factor, and personality factor of professional achievements; no significant difference was found in self-evaluation in four dimensions against personal abilities and attitude, professional abilities, professional morality, team cooperation and communication between students in experimental class and students in normal class, but students in experimental class is significantly higher in class evaluation. The research results indicated the implementation of CDIO engineering education mode exerts positive influence on the shaping and development of students’ personality traits. Read More Read Less