A5088346179- Advanced Materials and Mechanics
- Modular Robots and Swarm Intelligence
- Architecture and Computational Design
- Interactive and Immersive Displays
- Advanced Sensor and Energy Harvesting Materials
- Tactile and Sensory Interactions
- AI and Big Data Applications
- Pickering emulsions and particle stabilization
- Forecasting Techniques and Applications
- Surface Modification and Superhydrophobicity
- Stock Market Forecasting Methods
- Silkworms and Sericulture Research
- Electrowetting and Microfluidic Technologies
- Electrohydrodynamics and Fluid Dynamics
- Consumer Market Behavior and Pricing
- Advanced Technologies in Various Fields
- Silk-based biomaterials and applications
- 3D Shape Modeling and Analysis
- AI and Multimedia in Education
The University of Tokyo
2021-2025
Inflatable systems have been attracting attention in the field of interaction design. Conventional tabletop-sized pneumatic tend to be complex because they require bulky and noisy equipment. Therefore, several liquid-to-gas phase change actuators that use vaporization proposed. But these problems with controllability, reusability, reconfigurability. In this study, we propose InflatableMod, novel inflatable modules based on efficient control actuators. These are designed a compact circuit has...
Whispers from Silken Margins delves into the transformative silk production techniques of Showa era, marking a shift traditional volumetric cocoon artistry to an avant-garde planar structure. Beyond its inherent promise sustainability and preservation both silkworm life natural resources, this approach heralds novel dimension in artistry. Meticulous studies on fiber structures, combined with their stability plasticity, intertwine modern architectural methodologies. The resultant aesthetic...
We propose TensionFab, a novel technique for creating shape-changeable room-scale structures. This method employs easily available planar materials (plywood, MDF), cuts them into multiple 2D shapes, and then connects the pieces manually to create unified structure capable of 3D deformations. Constructed TensionFab structures are characterized by easy achievability target surfaces, substantial structural strength, shape changeability, time material savings, storage transportation. In this...
Curves Harvesting explores dynamic morphogenesis through thermodynamic sculpting of 3D-printed structures. This installation utilizes polylactic acid's thermal properties to transform planar modules into complex curved surfaces. By controlling water temperature and tension, it balances deterministic design with environmental unpredictability. A comprehensive library examines the influence various parameters on resulting morphologies. The project challenges static sculpture concepts, offering...
Physical interfaces that change appearance by controlling transparency have attracted attention for wide applicability. However, many existing methods are limited to planar objects, and it is difficult control in three-dimensional objects continuously. In this study, we propose a novel method the of utilizing mechanical emulsification phenomenon liquid. This approach fill object with two transparent liquids liquid-liquid phase separated agitate inside make them cloudy their transparency. By...
Inflatable systems have been attracting attention in the field of interaction design. Conventional tabletop-sized pneumatic tend to be complex because they require bulky and noisy equipment. Therefore, several liquid-to-gas phase change actuators that use vaporization proposed. But these problems with controllability, reusability, reconfigurability. In this study, we propose InflatableMod, novel inflatable modules based on efficient control actuators. These are designed a compact circuit has...
In the competitive and diverse retail market, restocking pricing perishable vegetables is challenging. Using big data machine learning to analyze sales data, this research can build predictive models refine these strategies predict trends[1][2]. This analyzed from 2020 2023, identifying key trends in volumes, seasonality, consumer preferences. It incorporated findings into a multi-objective programming model that also considered wholesale loss rates. used statistical tests like...
Aiming at the problem of low recognition accuracy caused by small number accurate human action in practical application traditional mechanical method, research method based on wearable inertial sensor is carried out. A new proposed capturing motion data sensor, establishing joint and model, recognizing multi class dynamic time warping. Through experimental demonstration, it proved that can realize 100% high-precision action, effectively solve methods.