Quantifying the Impact of Design and Process Complexity on Build Time in Material Extrusion Additive Manufacturing

JinKyu Lim, Kijung Park

Additive manufacturing (AM) enables fabricating complex geometries without additional tooling, offering advantages over conventional manufacturing processes. Ho...

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DOI: https://doi.org/10.7232/JKIIE.2026.52.4.279

Distributed Deep Reinforcement Learning-based Dynamic Routing for Agent-based Manufacturing Execution Systems

Jongho Baek, Moonsoo Shin

In smart manufacturing, routing decisions for work-in-process (WIP) are critical factors affecting operational performance, including lead time, makespan, and c...

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DOI: https://doi.org/10.7232/JKIIE.2026.52.4.291

Blueprints for AI-Driven Automation: Mining a SaaS Dependency Network for Agent Toolkits and Workflow Scenarios

Kyeonga Kim, Hakyeon Lee

While artificial intelligence (AI)-driven automation is rapidly advancing, design processes remain largely ad-hoc due to a lack of empirical analysis on real-wo...

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DOI: https://doi.org/10.7232/JKIIE.2026.52.4.303

An Explainable Machine Learning-Based Approach to Patent Litigation Risk Assessment

Youngjin Seol, Junhee Hong, Seunghyun Lee, Jaewoong Choi, Minsoo Kang, Janghyeok Yoon

Machine learning-based patent litigation prediction has gained attention as a means of assessing patent litigation risk proactively. However, prior studies have...

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DOI: https://doi.org/10.7232/JKIIE.2026.52.4.320

Context-Function based Approach to Identifying Opportunities of Technology Use Scenarios

Heechan Yang, Mingyu Kim, Seunghyun Lee, Youngjin Seol, Janghyeok Yoon

Technology opportunity discovery strategies play an important role in the success of R&D. Numerous studies have analyzed the functional information of technolog...

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DOI: https://doi.org/10.7232/JKIIE.2026.52.4.335

Diffusion Refinement for Boundary-Consistent Veterinary X-ray Reconstruction

Yeongyeong Jo, Hyoyoung Jang, Jihoon Kim, Jeongnyeon Kim, Minhyung Kim, Sumin Han, Seungjo Park, Sangmin Lee

In AI-based analysis pipelines, large medical images are often restored in patches for high-resolution processing due to memory limitations. Patch-wise restorat...

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DOI: https://doi.org/10.7232/JKIIE.2026.52.4.354

Analysis of Emerging Technology Growth Uncertainty through AI-empowered Multimodal Sentiment Incongruence Analysis: A Case Study of Large Language Models

Jae-Hyun Kwon, Juneseuk Shin

This study proposes a novel methodology and a quantitative metric, the Sentiment Incongruity Index (SII), for analyzing multimodal signals and their incongruenc...

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DOI: https://doi.org/10.7232/JKIIE.2026.52.4.374