Media Research Center

About: Media Research Center is a based out in . It is known for research contribution in the topics: Collaborative learning & Educational technology. The organization has 491 authors who have published 950 publications receiving 28581 citations. The organization is also known as: MRC.

Design and Implementation of Aggregation Framework for UPnP/DLNA Media Server

Abstract: This paper describes the design and implementation of the aggregation framework for UPnP/DLNA home network. The proposed aggregation service aggregates contents list from UPnP media servers in a home network and present them in a single contents list. The aggregation framework is designed to use as minimum bandwidth as possible in home network and to provide backward compatibility to UPnP media server and control point. The proposed method framework user to navigate contents list in home network and saves effort to find desired content from multiple UPnP media servers.

Electrical property investigations of carbon, lubricant, and alternative overcoats of magnetic discs using mercury probe

Abstract: This paper describes the results on the electrical properties of carbon, lubricants, and alternative overcoats of magnetic discs using mercury probe. Our data show that resistivity of the carbon overcoat is highly dependent upon carbon composition and process condition. For DC-magnetron sputtered carbon, C:H carbon has much higher resistivity than C:H:N carbon. On the other hand, ion beam deposited carbon has higher resistivity than sputtered carbon. This effect is more pronounced for C:H:N type carbon. The DC break-down voltage of carbon overcoat is a function of film thickness. Thicker carbon has a higher break down voltage, Z-dol lubricant is nonconducting and has very low break-down voltage. Resistivity of SiN and AlN overcoats on Al and glass substrates is also reported.

Psychological Determinants of Collective Action for Climate Justice: Insights From Semi-Structured Interviews and Content Analysis.

Abstract: Student initiatives for climate justice are driving forces in the climate change debate, but the psychological determinants of students' engagement for climate justice have hardly been investigated so far. For this study, we posited student engagement for climate justice to be a form of collective action and analyzed psychological determinants of collective action as well as subjective processes of change in these determinants. For this purpose, semi-structured interviews were conducted with four individuals who were engaged in different student initiatives. The results of a qualitative content analysis showed that student collective action for climate justice as reported by the respondents reinforced some of the psychological conditions of collective action established in the literature, such as collective and participatory self-efficacy expectations and feelings of fear and anger. We also found, however, that (first-time) participation in collective action cannot be fully explained by those known predictors. A sense of responsibility, awareness of problems, and extrinsic motives, such as social contact, were also conducive to participation, whereas politicized collective identities did not play a significant role. Finally, we discuss the results against the background of existing theoretical considerations and outline implications for further psychological study of collective action.

Color and Illumination Compensation Scheme for Multi-view Video Service

Abstract: This paper deals with the problem of color and illumination compensation for multi-view video service. In particular, we focus on finding a simple and lightweight color compensation algorithm because it is more friendly for realtime service. In this paper, we developed multi-view rendering software and applied and tested the diagonal matrix based color compensation method. Through experiments, we confirmed that there are advantages of diagonal color transfer model compared with histogram matching and statistical color transfer scheme. We also have experimentally observed that the approach works even when the multi-view image is corrupted under realistic conditions such as rain or sun-flare.