Information Optimization for Image Screening and Transmission in Aerial Detection

Author(s):  
Jieqi Li ◽  
Xi Liu ◽  
Lefan Wang ◽  
Fu Kong ◽  
Zhengxue Li ◽  
...  

Author(s):  
Dahlia Kairy ◽  
Mir Abolfazl Mostafavi ◽  
Catherine Blanchette-Dallaire ◽  
Eva Belanger ◽  
Andrea Corbeil ◽  
...  

Background: Social participation is beneficial for individuals’ health. However, people with disabilities that may lead to mobility limitations tend to experience lower levels of social participation. Information and communication technologies such as the OnRoule mobile application (app) can help promote social participation. Objectives: To obtain potential users’ perceptions on the usability and content of the OnRoule app for providing information on accessibility, as well as its potential to optimize social participation. Materials and Methods: Cross-sectional user-centered design study. Individuals with physical disabilities (n = 18) were recruited through community organizations and interviewed using a semi-structured guide. Interviews were recorded, transcribed, and analyzed using thematic analysis. Results: Three main themes were identified: (1) “user-friendliness”; (2) “balance between the amount and relevance of information”; and (3) “potential use of the app”. Discussion and Conclusion: Findings from this study indicated that the app was easy to use, had pertinent information, and enabled a positive experience of finding information. However, several areas of improvement were identified, such as the clarity of specific elements, organization and amount of information, optimization of features, and inclusiveness. Apps such as OnRoule could optimize social participation by facilitating the process of finding resources in the community and building a sense of connectedness between users.



2010 ◽  
Vol 8 (2) ◽  
pp. 159-161 ◽  
Author(s):  
刘钦晓 Qinxiao Liu ◽  
赵廷玉 Tingyu Zhao ◽  
陈燕平 Yanping Chen ◽  
张文字 Wenzi Zhang ◽  
余飞鸿 Feihong Yu




Author(s):  
Zameer Gulzar ◽  
L. Arun Raj ◽  
A. Anny Leema

Data mining approaches have been tried in e-learning systems for information optimization and knowledge extraction to make decisions. In recent years, the recommendation system has gained popularity in every field be it e-commerce, entertainment, sports, healthcare, news, etc. However, in e-learning system, the recommender systems were not effectively utilized in comparison to other domains and thus emerged as a bottleneck for almost all e-learning systems for not offering flexible delivery of the learning resources. Current e-learning systems lack personalization features, and the information is presented in a static way despite their varying learning objectives and needs. The aim of recommender system is to personalize the information with respect to learner interest. The objective of this study is to highlight various algorithmic techniques that can be used to improve information retrieval process to provide effective recommendations to learners for improving their performance and satisfaction level.





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