PURPOSE To investigate the effect of watching 3-dimensional (3D) television (TV) on refractive error in children. METHODS Sixty healthy volunteers, aged 6 to 12 years, without any ocular abnormalities other than refractive error were recruited for this study. They watched 3D TV for 50 minutes at a viewing distance of 2.8 meters. The image disparity of the 3D contents was from -1 to 1 degree. ...

Despite several years of intensive study, intrusion detection systems still suffer from a key deficiency: A high rate of false alarms. To counteract this, this paper proposes to visualise the state of the computer system such that the operator can determine whether a violation has taken place. To this end a very simple anomaly detection inspired log reduction scheme is combined with graph visua...

A U.S. consumer watches TV for about five hours a day on average. While the majority of viewed content is still the broadcast TV programming, the share of the time‐shifted content has been ever increasing. One third of the U.S. consumers currently use a digital video recorder (DVR)‐like device for time‐shifting, however, the trends are showing that more and more consumers are going to the Web t...

Many of the seminal papers in preference handling have used food preferences as motivating examples for their work; for example (Boutilier et al. 2004; Chomicki 2002). As foodies, the authors find this particularly motivating. While we think that there is both research and commercial potential in preference-based software for restaurants, we believe that serious application of the MPREF communi...

Differently from computer vision systems which require explicit supervision, humans can learn facial expressions by simply observing other humans in their environment. In this paper, we consider the problem of developing similar capabilities in machine vision. As a starting point, we look at the problem of relating facial expressions to objectively measurable events occurring in videos and make...

In the peer to peer (p2p) VoD system, there are many factors to influence the fluency of video, such as watching behavior, distribution of segments, download rates, data transmission, and so on. Most research concentrates on single factor without considering the interrelation of all the factors. In the paper, factors would be researched separately to find the relation with fluency of video play...

Weather affects our mood and behaviors, and many aspects of our life. When it is sunny, most people become happier; but when it rains, some people get depressed. Despite this evidence and the abundance of data, weather has mostly been overlooked in the machine learning and data science research. This work presents a causal analysis of how weather affects TV watching patterns. We show that some ...