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The cultural background of users utilizing image search engines has a significant impact on the satisfaction of the search results. Therefore, it is important to analyze and understand the cultural context of images for more accurate image search. In this paper, we investigate how the cultural context of images can affect the performance of image classification. To this end, we first collected various types of images (e.g,. food, temple, etc.) with various cultural contexts (e.g., Korea, Japan, etc.) from web search engines. Afterwards, a deep transfer learning approach using VGG19 and MobileNetV2 pre-trained with ImageNet was adopted to learn the cultural features of the collected images. Through various experiments we show the performance of image classification can be differently affected according to the cultural context of images [ABSTRACT FROM AUTHOR]

Super aged society, Japan actively uses Information Communication Technology(ICT) as one of solving methods for various social problem. Especially, for Korea where soon will become super aged society, it would be meaningful to examine the current policy trends and utilization of senior support using ICT in Japan. This study explores the policy trends and utilization of senior support using ICT in Japan through literature review, and then proposes some suggestions as follows. Opportunities for practical use of ICT should be widened in the field of senior support, and efforts are needed to build an information linkage network between institutions for senior support because linkage between care sector and medical sector is important for the elderly support. Besides, simplification of paperwork and easing of burden of care providers or workers in the field should be sought by development and dissemination of various robots. Moreover, the spread of technology for emotional support and stability should be actively pursued by using ICT. [ABSTRACT FROM AUTHOR]