A5054227029- Food Supply Chain Traceability
- Digital Imaging for Blood Diseases
- Cell Image Analysis Techniques
- COVID-19 diagnosis using AI
- Identification and Quantification in Food
- Meat and Animal Product Quality
- Insect and Pesticide Research
- IoT-based Smart Home Systems
- Electrical and Bioimpedance Tomography
- Plant and animal studies
- Anomaly Detection Techniques and Applications
- Sepsis Diagnosis and Treatment
- Nutrition, Health and Food Behavior
- Context-Aware Activity Recognition Systems
- Smart Agriculture and AI
- Imbalanced Data Classification Techniques
- Consumer Retail Behavior Studies
- Advanced Chemical Sensor Technologies
- Advanced Software Engineering Methodologies
- Generative Adversarial Networks and Image Synthesis
- Software System Performance and Reliability
- Insect and Arachnid Ecology and Behavior
Chungbuk National University
2023-2025
The decline and aging of the rural population have led to development smart livestock farming systems that can automatically detect animal behavior. Previous studies primarily focused on detecting behavior during day, cattle mounting occur at any time, both day night. This study proposes a continuous 24-hour real-time monitoring IoT system for leverages convolutional neural network-based YOLO-v8 model discern between typical actions. experimental results demonstrate robust performance...
As the demand for pork continues to increase, understanding consumer preferences specific characteristics of has become increasingly important. Building on insights provided by previous studies, this research aims more accurately predict taste utilizing both characteristic information and information. To achieve this, study proposes a deep learning-based stacking model that integrates strengths individual models, thereby preventing overfitting improving prediction accuracy. Furthermore,...
Nowadays, automated systems have permeated various industries, optimizing processes and transitioning traditional analog methodologies into efficient digital paradigms. However, prior research in automation predominantly focused on enhancing machine performance isolation through rigorous analysis strategic formulation. In this study, we introduced a self-adaptive system designed to foster collaborative interoperability between humans machines within IoT environments. The placed strong...
해마다 육류 소비는 증가하고 있고 돼지고기는 많이 소비되는 종류이다. 따라서 돈육 가격을 예측하는 것으로 선제적 수급 조절 등 이해관계자들에게 이점을 제공한다. 축산 시장에서 축산물의 가격은 다양한 요인에 영향을 받으므로 예측 변인을 고려해야 한다. 본 연구에서는 여러 정보가 담겨 있는 뉴스 데이터를 활용하여 도매가격을 모델을 제안하고자 감정분석기를 문장들의 감정을 분석하고 분석한 이용하여 감정 점수를 측정했다. 측정한 딥러닝 통해 예측했다. 시계열 모델 학습 방식 중 다대다 방식을 학습날짜와 날짜 일수를 조정하며 성능 비교평가를 했다. 전체적으로 도매가격으로만 학습하였을 때보다 예측한 모델이 더 낮은 오차로 예측함을 확인할 수 있었다.