This paper aims to discuss a society that assumes digital technologies such as IoT, AI, drones and autonomous driving are penetrated. In such kind of society, these technologies are used for solving social problem by integrating cyber-physical space (SCPS). The authors focus on (1) digital technology as a tool to solve social problems like as lack of labor, (2) elements of geospatial technologies and (3) diversifying management agencies and services. High precision three-dimension map and positioning system, indoor positioning system, SfM by cloud service and next generation mobile communication system are expected to be necessary tools to develop future society. Especially, examples on elemental and integrated technologies related to next generation mobility by drone and autonomous driving, agriculture and emergency responses are introduced. Finally, issues to be considered are raised as followings; (1) regulatory

, () dual-use and (3) development of new market.

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E-Learning continues to be used as an educational tool in the US and Japan. However, there is still some debate about its educational effectiveness. The reason could be because e-learning does not always fit students' needs, which are diverse in today's society. Therefore e-learning should be devised in various ways, so that it is suitable to many learning styles. In this paper we discuss a problem based learning project that was carried out by student teams, as an educational trial in Metaverse. A student team in the US and one from Japan independently grappled with the same project in Metaverse. Their different approaches and results are presented and compared with each other. The US group seemed to be more skillful at carrying out functions in Metaverse than the Japanese students. However disregarding cultural differences, individuals from both Countries who preferred digital learning to the analogue style seemed to be satisfied with PBL in Metaverse.

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The objective of this paper is to evaluate effects of stratified porous formation on solute dispersion using two-dimensional laboratory tracer tests. An image analysis technique was used to analyze the solute dispersion processes and quantify the dispersivity and behaviors of forward and backward tails of solute plumes. Longitudinal dispersivity estimates for the stratified porous media increased with travel distance and are in reasonable agreement with previous work. Moreover, in all of the stratified cases the transverse dispersivity exhibited a similar trend which decayed with travel distance. The summary of dispersivities estimated from this study and previous studies suggests that if both degree of heterogeneity and scale for stratified and randomly heterogeneous porous media are similar, the longitudinal dispersivity is larger in stratified media than in randomly heterogeneous media. In order to quantify behaviors of forward and backward tails, we defined the travel distances x₀₅ and x₉₅ corresponding to the 5th and 95th percentiles, respectively, of the cumulative concentrations in the longitudinal direction, and found that the distance between x₀₅ and x₉₅ spread out linearly in the stratified cases.

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