Enhancing Search Efficiency of Evolutionary Algorithm for Job Shop Scheduling Problem via Predetermined Sub-optimal Solutions

Jiwon Baek, Jong Hun Woo

This paper introduces a novel evolutionary algorithm for the Job Shop Scheduling Problem (JSSP) using Genetic Algorithm (GA). The methodology incorporates a new...

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DOI: https://doi.org/10.7232/JKIIE.2025.51.1.001

Energy-Quality Process Parameter Map using Machine Learning in Wire Arc Additive Manufacturing

Na Li, Duck Bong Kim, Seung-Jun Shin

This paper proposes a method of generating a process parameter map to visualize the energy and quality availability graphically using machine learning in wire a...

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DOI: https://doi.org/10.7232/JKIIE.2025.51.1.011

Development of An Integrated Product Data Model with Machine Learning Models and Datasets to Facilitate Part Identification and Detection of Assembly Products

Namchul Do

To effectively use machine learning (ML), virtual ML applications that take into account aspects particular to an ML application domain are required. This paper...

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DOI: https://doi.org/10.7232/JKIIE.2025.51.1.025

Multilingual Aspect-based Sentiment Analysis Using Pre-trained Language Models: A Focus on Hotel Reviews

Hojun Jang, Dawon Jeon, Heesang Lee

Consumers tend to rely on user reviews when making purchasing decisions, and reviews play a crucial role in corporate marketing and service development. The lat...

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DOI: https://doi.org/10.7232/JKIIE.2025.51.1.036

Long-Term Sales Forecasting for Apparel Sales Based on Transformer

Jinwoo Lee, Taenam Park, Yongwon Jo, Seokyun Jeong, Junghyun Hwang, Taeyoung Ahn, Hyeri Moon, Hwanho Kim, Seoung Bum Kim

Sales forecasting plays an important role in decision-making in various industries. Especially, apparel products are highly sensitive to seasons and trends, mak...

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DOI: https://doi.org/10.7232/JKIIE.2025.51.1.048

A Methodology for Patent Classification through Bigbird-Pegasus Based Claim Abstractive Summarization

Youngjae Lee, Jiho Kim, Hongchul Lee

Patent classification is a crucial process in the examination procedure, matching the invention technology of the application with technical classification code...

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DOI: https://doi.org/10.7232/JKIIE.2025.51.1.061

An Automated Inspection System for Hose Assembly of Engine Main Control Valves Using Deep Learning-based Object Detection

Changyeong Kim, Hyungun Cho, Junhyeok Choi, Sudong Lee

In many manufacturing sites, the completion of the process is examined by a manual visual inspection, which is costly and prone to human errors. To overcome thi...

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DOI: https://doi.org/10.7232/JKIIE.2025.51.1.073

Numerical Pricing of the Convertible Bonds with Refixing Clauses

Seung Hwan Kim, H. C. Lim

This article presents a mathematical model of the pricing convertible bond with refixing clauses using the jump condition for the path-dependent variable and co...

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DOI: https://doi.org/10.7232/JKIIE.2025.51.1.083

Development of a Funded Defense Companies Prediction Model based on Machine Learning

G. W. Jeon, D. H. Yoo, J. H. Jeon

This research focused on the needs of the defense industry to understand what companies should preemptively prepare from the perspective of their current manage...

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DOI: https://doi.org/10.7232/JKIIE.2025.51.1.095

Time Series Abnormal Vacuum Pattern Detection and Classification in Refrigerator Cycle using Convolutional Autoencoder and Multi-Layer Perceptron

Jaehyun Jung, Yoojeong Noh, Young-Jin Kang, Bongjun Choi, Jungwon Yoo

In this paper, a CAE-MLP-based AI model is proposed to detect and classify various abnormal patterns occurring in the vacuum process of refrigerator cycles. Tra...

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DOI: https://doi.org/10.7232/JKIIE.2025.51.1.108