Online program engagement and audience size during television ads

This research explores how television viewers’ online program engagement (OPE)—engagement in social media conversations about television programs—relates to audience size during ads in those programs. We leverage a multisource dataset of 8417 ad instances, volume and deviation measures of OPE activity (program-related Twitter mentions), and audience size during ads. We show that increases in OPE volume and positive deviations from the episode’s average level of OPE before an ad relate to higher ad audience size. To explain, we argue that OPE reflects viewers’ program involvement which attenuates their channel-changing behavior during ads. Positive OPE deviations moreover relate to higher ad audience sizes most strongly for earlier ads in a break. Our results help television networks and advertisers strategically determine ad placements for increased ad audience size by highlighting social episodes (characterized by high OPE volume) and social moments (characterized by positive OPE deviations) as attractive advertising environments.

Fuzzy-Logic based Selection and Switching of Channels in Cognitive-Radio Networks

In Wireless-Communication, quick increments of cell phones furthermore, the heterogeneous condition have expanded the prerequisite for extra spect-rum for information transmiss-ion. It is past the domain of imagination to allocate new bands to all networks, which is the explanation behind product-ive utilizat-ion of the adequately available spect-rum is the interest of the day. Cognitive-radio (CR) development is a promising response for compelling range use, where Cognitive-Radio devices, or optional clients (SUs), can keenly utilize void areas open in the authorized channels. Secondary-Users need to rapidly surrender the authorized channel and change to another available channel when they recognize the presence of the essential client. In any case, execution for the SU truly taints if constant channel exchanging happens. Likewise, taking the channel-turning choices subject to fresh rationale is certainly isn't sensible procedure in the brain empowered Cognitive-Radio networks (CRNs) where recognizing information isn't simply free and misguided at this point furthermore incorporates a huge vulnerability factor. We propose a Fuzzy-Logic Supportive System (FLSS) commonly oversees channel-choice and channel-changing to redesign general through-put of CRNs. Proposed plot decreases the SU channel-exchanging rate and channel-determination more adaptable. Assessment of execution is refined utilizing MATLAB Simulator. The results are promising in regards to the through-put and the num-ber of hand-offs subsequently, FLSS ends up being a fair candidate framework for SUs while making the judicious choices in Cognitive-Radio condition.

A Fairness-Based Access Control Scheme to Optimize IPTV Fast Channel Changing

IPTV services are typically featured with a longer channel changing delay compared to the conventional TV systems. The major contributor to this lies in the time spent on intraframe (I-frame) acquisition during channel changing. Currently, most widely adopted fast channel changing (FCC) methods rely on promptly transmitting to the client (conducting the channel changing) a retained I-frame of the targeted channel as a separate unicasting stream. However, this I-frame acceleration mechanism has an inherent scalability problem due to the explosions of channel changing requests during commercial breaks. In this paper, we propose a fairness-based admission control (FAC) scheme for the original I-frame acceleration mechanism to enhance its scalability by decreasing the bandwidth demands. Based on the channel changing history of every client, the FAC scheme can intelligently decide whether or not to conduct the I-frame acceleration for each channel change request. Comprehensive simulation experiments demonstrate the potential of our proposed FAC scheme to effectively optimize the scalability of the I-frame acceleration mechanism, particularly in commercial breaks. Meanwhile, the FAC scheme only slightly increases the average channel changing delay by temporarily disabling FCC (i.e., I-frame acceleration) for the clients who are addicted to frequent channel zapping.

Numerical Simulation of Supercritical Water in T-Shaped Channel Across Critical Point

Mixing flows of supercritical fluid and liquid assuming the supercritical hydrothermal synthesis (SCHS) reactor are calculated using the numerical method developed by our group. First, the influence of thermophysical properties near the critical point to the flows is evaluated. The flows ignoring density change and specific heat change become a steady-state flow and are obviously different from flows considering all thermophysical properties. These results indicate that the large density difference in fluid at a narrow region caused by a peak of specific heat induces unsteady flows in the reactor. While higher bulk pressure results in a steady flow because of the moderate change of thermophysical properties. Next the flows in a sub channel changing the width are calculated. The channel with a smaller width makes a strong injection and the mixing occurs mainly at the downstream of the main channel. The tiled sub-channel may suppress the flow recirculation in the main channel.