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Abstract-Human identification plays an important role in human-computer interaction. There have been numerous methods proposed for human identification (e.g., face recognition, gait recognition, fingerprint identification, etc.). While these methods could be very useful under different conditions, they also suffer from certain shortcomings (e.g., user privacy, sensing coverage range). In this paper,...
Job mobility is common in modern society, especially in the industry of information and communication technology. Job mobility prediction is valuable both for employees and employers. For the sake of lacking appropriate and sufficient records of job mobility, the traditional methods meet a significant challenge in job mobility prediction. Fortunately, the emerging professional social network provides...
Monitoring group mobility and structure is crucial for public safety management and emergency evacuation. In this paper, we propose a fine-grained mobility classification and structure recognition approach for social groups based on hybrid sensing using mobile devices. First, we present a method which classifies group mobility into four levels, including stationary, strolling, walking and running...
With the widespread use of smart phones, opportunistic networks that leverage opportunistic contacting and data transmission among people have become a new data sharing medium. In this paper, we propose an intelligent music sharing system called "Music On Go", which is based on mobility prediction and preference extraction in opportunistic networks. In detail, we first present a human mobility...
The emergence of microblog brings a fundamental change to traditional information diffusion patterns. While there are a significant amount of studies on modelling the information propagation in microblog networks, little prior work has considered sentiments of messages as factors or information entities for propagation studies. In this paper, we present our work on characterizing the impact of sentiments...
Micro-blog has been increasingly used for the public to express their opinions, and for organisations to detect public sentiment about social events. In contrast to the effort and progress made in English-based micro-blog analysis, research on Chinese micro-blog received relatively little attention. In this paper we examine and identify the key problems of this field, focusing particularly on the...
Nowadays, as social activities in the real world are getting more and more popular, it is important to understand the social interaction features and the social contexts of users (meetings, social gatherings, etc.) to support social activity organization. By leveraging the social context and activities of users, various services can be provided (e.g., recommendation of friends, activities, etc.)....
Online social networks provide a promising content dissemination platform. The information diffusion in content centric online social networks has been involving more and more media types. This paper reports on a quantitative study exploring how cross media influence the content dissemination in Sina Weibo (a popular Twitter-like microblogging site in China). Implicit cross media related features...
Active sonar systems involve the transmission and reception of one or more sequences, which provide a basis for extraction of the information on targets in the region of interest. The probing sequences at the transmitter and signal processing at the receiver play crucial roles in the overall system performance. We consider herein using CAN (cyclic algorithm-new) to synthesize probing sequences with...
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