Shibaura Institute of Technology

Impact of relative humidity and PIV seeding on the electro-aerodynamic performance of needle-to-ring ionic fans

Abstract Electrohydrodynamic (EHD) fans represent a viable solid-state alternative to conventional thermal management, addressing the demand for miniaturized, silent, and vibration-free cooling in modern electronics. While Particle Image Velocimetry (PIV) is widely utilized for a...

Development of a support system for total hip arthroplasty: evaluation of lower limb loads using virtual and dummy human body models

Abstract Purpose The direct anterior approach (DAA) is one of the procedures used for total hip arthroplasty (THA) and offers advantages such as faster postoperative recovery. A lower limb traction operating table has been developed to assist in intraoperative movement and retent...

Probabilistic sustainability evaluation of hybrid breakwaters considering uncertainty in conceptualization and indicator weighting

One of the distinguishing features of hybrid infrastructure is the need to find balance between multiple functional performances. Multi-criteria decision analysis is an ideal tool for exploring this balance and identifying an ideal solution, but there are few examples of its appl...

Commit-Window Observation Contracts for Reactive Entity-Component Systems

Modern entity-component systems (ECS) runtimes expose structural events (OnAdd, OnSet, and OnRemove), change filters, and continuous queries (CQ) so that systems rerun only where data changed; yet the correctness of the underlying optimizations—coalescing notifications, reorderin...

Cyclodextrin-Containing Tannic Acid–Lipoic Acid Hydrogels for the Loading and Reduction-Responsive Release of Nile Red

Hydrophobic molecules are generally difficult to incorporate into aqueous hydrogels because of their poor water solubility. In this study, a cyclodextrin (CD)-containing tannic acid–lipoic acid (TA–LA) hydrogel was developed using lipoic acid-modified β-cyclodextrin (LACD). LACD...

River Waste Detection Methods for Urban Canals in Southeast Asia—A Review of Present Techniques and Future Perspectives

Floating plastic debris in urban canals is a management-relevant precursor to downstream microplastic pollution. This structured narrative review synthesizes conventional field surveys, camera-, UAV-, and satellite-based image analysis and AI-assisted image-based monitoring. Emph...

On the $L_{1}$ maximal regularity in the study of free boundary problem for the compressible fluid flows

In this paper, we consider the Stokes equations with non-homogeneous free boundary conditions, which are obtained by the linearization procedure of the free boundary problem of the Navier–Stokes equations describing the viscous compressible fluid flows. We prove the $L_{1}$ maxim...

An Analysis of Mobility Styles and Carsharing Adoption Intentions in Major Urban Areas of Japan: Evidence from Tokyo, Osaka, and Kanagawa

This study links mobility styles with carsharing intentions and next-generation vehicle preferences in urban Japan. An online survey of licensed drivers in Tokyo Metropolis, Kanagawa Prefecture, and Osaka Prefecture captured mode use frequencies and stated preferences by travel p...

Varifocal displays reduce the impact of the vergence-accommodation conflict on 3D pointing performance in augmented reality systems

This paper investigates whether a custom varifocal display can improve 3D pointing performance in augmented reality (AR), where the vergence-accommodation conflict (VAC) is known to impair interaction. Varifocal displays have been hypothesized to alleviate the VAC by dynamically...

Fast and accurate algorithms for matrix multiplication using fused multiply-add and their rounding error analysis

Abstract We propose a numerical algorithm for accurate matrix multiplication. When standard floating-point arithmetic fails to deliver sufficient accuracy, high-precision techniques such as pair arithmetic and double-word arithmetic are typically employed, although at the expense...

Precision-guided gramian angular field for ECG-based cardiac arrhythmia detection utilizing binary-weight simplicial convolutional neural networks

Cardiac arrhythmia, characterized by abnormal heart rhythms, can be effectively identified using electrocardiogram (ECG) signals. However, the complex temporal and frequency patterns in ECG recordings make accurate diagnosis challenging. Recent advances in deep learning have sign...

Swing characteristics affecting carry distance in golf using explainable AI

Abstract The application of explainable AI is effective for interpreting nonlinear and complex models, such as those governing golf-ball trajectory. This study aimed to identify the swing characteristics that influence carry distance using explainable AI. A machine learning model...