To understand the molecular transport from micro-sized aqueous droplets to nano-sized reverse micelle of Span 80, we perform molecular dynamics simulations of reverse micelles with different contents of water. Span 80 is a nonionic surfactant, and its reverse micelle is expected to be applied for the selective enrichment of solutes in microdroplets. We focus on hydrogen bonds (HBs) inside reverse micelles and calculate the lifetime of HBs between water molecules, between surfactants, and between water and the surfactant. It is found that the reverse micelle with less water has longer HB lifetime for all molecular pairs. The longer HB lifetime between water molecules prolongs the HB lifetime between surfactants, thereby making the reverse micelle itself more rigid in the system with less water. Since the HB lifetime of water-water in the reverse micelles is much longer than that of bulk water, the water environment in the nano-sized reverse micelle is much different in the bulk system.

Automatic chord estimation is an important research topic in the field of music analysis. In existing research, a method using DCGAN has been proposed, but the accuracy rate of automatic chord estimation is only 73.2%. Therefore, in this study, we propose an improved method using DCGAN and a method using CGAN. The DCGAN-based method was improved by using tanh functions for all the coupling and output layers to unify the regions, and by adding L2 regularization to the Minibatch Discrimination layer and all the convolution layers to suppress Mode Collapse and overlearning. Experimental results showed a 91.7% correct rate of automatic code estimation. For the CGAN-based method, a one-hot vector was used as the input for the condition, and two methods were tested: one method added to the end of the MIDI data, and the other method replaced the beginning of the MIDI data. The experimental results showed that the correctness rates of the two methods for automatic chord estimation were 90.5% and 90.9%, respectively. This study has made it possible to improve the accuracy rate of the DCGAN-based method in automatic code estimation. Furthermore, it was shown that the method using CGAN also achieved a high accuracy rate.

In the wireless LAN system, the deauthentication on an access point is one of an attack type to be difficult to defend against by software-based method. In this paper, a phased array antenna system with preset control is proposed to be used to block radio signal from the attacking terminal physically. Controlling the phased array is performed by calculating each phase shift analytically in general. However, using calculated shifts classically, the system could have multiple blocking direction. Unintentionally communication termination might be occurred with the control method where the directivity has multiple attenuation angle. Furthermore, actual phase shifter has its own limited shift range and controlled by using digital voltage value from D/A converter. The phased array system, equipped three antennas with shift range 0 to π [rad], and 10 bit step control, covers over the entire circumference to obtain the single block angle is shown in the paper.

We examine the behavior of highly process-parallel jobs based on the MPI parallelization; the jobs were carried out in Fugaku. In particular, we focus our attention on the change of memory consumption of the jobs. When the degree of the process parallelization becomes large, significant memory consumption occurs and increases due to the execution of the MPI initialization. For even larger parallelization degrees, jobs eventually reach memory exhaustion. We clarify that the number of MPI processes that can be accomplished is about 3.5 million at most even when we carry out full-node execution in Fugaku. It is also clarified that users should be careful about a situation that utilizable memory as an explicit description in users' code is quite restricted, although the number of MPI parallelization should be input corresponding to the number of computational nodes used in a huge-scale job in Fugaku.

In this study, we developed a methodology to estimate the initial translational velocity and rotational angular velocity from the 3D trajectory of a table tennis ball. A depth camera was used to measure the 3D trajectory. The objective function is the mean square error between the measured 3D trajectory and the 3D trajectory generated from the motion model. A search experiment was conducted to determine whether the method proposed in this study could be estimated using actual measurement data. A particle swarm optimization method was used for the search.

Understanding the human brain will help us exploit the neuronal mechanisms of higher-order cognitive functions. Brain simulation is one of the solutions for this approach. At present, synchronization of neuronal population with neuronal spiking model added some parameters is main approach from research for experimental and theoretical studies. However, there is almost none “synchronization model of neuronal population”. Here, we reproduce synchronization with neuronal spiking model in a single neuronal population. Based on these results, we construct “neuronal population firing model” with Fourier series. Then, using this model and interaction model between models, we simulate dynamics of synchronization in neuronal populations. The results indicated two types of synchronization patterns like alpha waves appear during waking state and the wave during epileptic seizures, depending on parameter. Furthermore, in the initial condition of two regions with phase difference and same synchronization pattern, the results indicated synchronization patterns stay in waking state and turn waking state from sleeping state, depending on interaction strength and phase difference.

This paper describes a large-scale electromagnetic field simulation based on the finite element method with the iterative domain decomposition method. It solves the stationary vector wave equation for high-frequency electromagnetic field analysis with the electric field as the unknown function. This solver uses the iterative domain decomposition method (IDDM) and its parallel distributed processing environment to perform detailed, fast, and efficient finite element analysis of large-scale electromagnetic field problems. The problem is that it takes a lot of elapsed time. In this research, we determine appropriate calculation conditions by finding a convergence criterion value by verifying the accuracy using a benchmark problem and then conducting a parameter study to change the size of the subdomain in IDDM for shortening the elapsed time. Calculation conditions appropriately are determined by exploring the subdomain size. In addition, we demonstrate the effectiveness of the analysis method by executing 100–200 million large-scale analyses under these calculation conditions.