Ensemble simulations, in which a large number of simulations are performed simultaneously with slightly different initial conditions, have been widely used to improve the prediction accuracy and reliability of computational modeling and forecasting of extreme weather events. However, with the dramatic improvement in computational performance of HPC systems, the spatial resolution and the number of ensemble members have continuously increased, and the output data have also become larger and more complex. Therefore, it becomes proportionately more difficult to efficiently extract noteworthy features and anomalies from such a huge amount of data, as well as to efficiently analyze the behavior of each member or the relationships among variables in detail. For this purpose, we can cite the Angular-based Parallel Coordinates Plot (APCP), which has proven effective in facilitating the visual understanding of the relationships among variables in an ensemble weather simulation. However, this approach has been limited to visually understanding the correlations between two adjacent axes (variables). To overcome this limitation, we developed a new index to quantify the relationships between variables based on the angular distribution information between axes in the APCP, and proposed an axes ordering method based on this index. As a result, we developed a mechanism to efficiently visualize the relationships between adjacent axes (variables). In the experiments, we applied this method to the APCP for analyzing ensemble weather simulation data and successfully demonstrated its effectiveness.

Wave-dissipating blocks are crucial to protect coastal areas by dissipating wave energy. The installation of these blocks is traditionally performed by skilled workers based on their experience, making it a challenging task for inexperienced workers. To address this issue, a block installation simulator is developed using Unity 3D, a game development engine. One notable feature of the simulator is its ability to allow users to view the 3D model of the breakwater and the tolerance area. This feature enables users to ensure that the blocks are installed within the designated area of the breakwater, a task that is difficult to achieve on-site. In this paper, we validate whether the display of the trapezoidal prism in the simulator helps improve the accuracy of workers in placing wave-dissipating blocks. Two professionals in the field were tasked with placing all the required blocks within the breakwaters with three scenarios. The results were evaluated based on the porosity of the placements, the number of protruding blocks, and the time consumed to complete the task.

In the present work, we shall investigate the Lyapunov spectrum as well as synchronization phenomena of the time-delayed chaos system with nonlinear Tent mapping to involve a chaotic dynamics. In practice we shall examine chaotic property in such a time-delayed chaos model in terms of the Lyapunov spectrum analyses through the Gram-Schmidt scheme. Then one shall examine the relation between the chaotic behavior and the characteristic solutions in terms of the Lambert function. In addition it will be confirmed that there exists a synchronization regime with respect to a coupling parameter for such a coupled time-delayed chaos system on the basis of the Lyapunov spectrum and the characteristic exponent solutions. According to our computer simulations, it will be also found that the synchronization phenomena in the coupled chaos system may be involved not only in chaotic states but also in non-chaotic states depending on both the delay-time and the coupling parameters. As future works, such a time-delayed chaos system with the multi-delay time parameters and/or with other nonlinear mapping functions such as Chebysheff function recently investigated are considered to be worthwhile from the view point of attractive applications to the secure-communications.

In this study, we investigated the influence of particle concentration on the magnetic solution deposition method, which forms thin films by effectively sedimenting magnetic nanoparticles in a liquid. We varied the area fraction and investigated the thin film formation conditions in detail through Brownian dynamics simulations. Specifically, we analyzed the effects of the magnetic field strength, magnitude of magnetic interactions between particles, particle mass density, and liquid temperature on the sedimentation behavior. In particular, we focused on the area fraction, which was previously set to 0.227, and conducted a comparative study using six different values, with the upper limit set to 0.403. We statistically analyzed 60,000 simulation cases to identify the conditions under which the desired thin film could be formed. The results showed that as the strength of the applied magnetic field increased, the magnetic moments of the particles became more closely aligned with the field direction, thereby reducing the likelihood of cluster formation and enhancing the possibility of obtaining the desired thin film. However, when the area fraction increased, the interparticle distance decreased, and even the particles aligned in the direction of the magnetic field tended to form clusters, making it more difficult to obtain the desired film. When the area fraction exceeded 0.227, the number of conditions under which a thin film could be formed decreased sharply; at 0.403, film formation became completely impossible. These findings indicate that the upper threshold of the area fraction for successful magnetic solution deposition is likely to be within 0.251–0.403.