Chronic obstructive pulmonary disease (COPD) is a leading cause of global mortality, often remaining undetected until irreversible lung damage occurs. Leveraging advancements in AI and acoustic d ... Read More

Running biomechanics was investigated using sensor technology to clarify the relationships between important parameters and injury prevention. Through secondary data analysis and case evaluations ... Read More

Advancements in material sciences and sensor technology have transformed sports engineering, enabling the real‑time monitoring of physiological, biomechanical, and environmental parameters in u ... Read More

The integration of AI into automated optical inspection enables the enhancement of printed circuit board manufacturing efficiency, accuracy, and cost-effectiveness. We developed an AI-assisted, v ... Read More

We investigated how the natural language processing (NLP) model enhances coherence and cohesion in college-level writing through cross-lingual computational analysis. Conventional automated writi ... Read More

In this study, we introduce the Graphiti Model Context Protocol (MCP) Server, an AI-assisted programming framework that integrates a time-aware knowledge graph with the MCP to enhance contextual ... Read More

In this study, we developed an intelligent food packaging design and evaluation framework integrating AI-generated design, sensing materials, craft aesthetics, and a multi-attribute decision mode ... Read More

We developed a decentralized, intelligent home appliance maintenance system driven by federated learning (FL) and multimodal sensor fusion. While modern IoT-enabled appliances generate vast amoun ... Read More

Industries increasingly demand intelligent monitoring for data anomalies in industrial sensing systems. However, traditional threshold-based sensor data anomaly detection remains prevalent; a rap ... Read More

The effect of integrating sensor technologies into 3D modeling in virtual production was explored by comparing it with traditional-craftsmanship-based methods. Whereas physical model-making is wi ... Read More

Rapid population aging and industrial restructuring make coordination between public elderly care services (PECS) and the elderly care industry (ECI) critical for improving healthcare outcomes in ... Read More

In this study, we developed a sensor-integrated evaluation framework for wayfinding visual communication in intangible cultural heritage exhibitions and validated it through a case study of the S ... Read More

Conventional manufacturing execution system (MES) reporting systems often suffer from fragmented sensor data management, labor-intensive report preparation, delayed decision-making, and limited c ... Read More