solution 1
AI Plant Operation
Problem Characteristics
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An open problem that steel mills around
the world have not solved -
The interior of a blast furnace features temperatures over 1500 degrees Celsius and thick walls that make direct measurement challenging
-
Existing mathematical modeling and big data analysis have limitations
Deep Learning Model for Process Optimization
(Applied deep learning technologies : CNN, AutoEncoder, DenseNet, etc.)
Four branches
-
Temperature branch
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Molten iron drainage branch
-
Tuyere branch
-
Operational data branch
Our novel Skip-dense layer
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Fully-connected with Skip-connection
-
Performance gain for regression
-
Not suitable for classification
Research Paper
CIKM 2019
ACM International Conference on
Information and Knowledge Management
solution 2
AI Demand Forecasting - Traffic
Development of a Taxi Demand Forecasting and Dynamic Pricing Algorithm based on
Demand/Supply Imbalance
Data Utilized
[Seoul City Call Log Dat]
[Korea Meteorological Administration AWS Data]
Demand Forecasting Model Development
Wait Time Forecasting Model Development
National Project
Participation in IITP Personal Information Protection AI Platform Research and Development Project
Graduate School of Convergence Security
Graduate School of Law
Department of Artificial Intelligence, Graduate School
Department of Data Science and Convergence
Key Objectives of the Research
and Development Project
(2022-2026)
- Development of Core Artificial Intelligence Algorithms that Comply with Personal Information Protection Policies
- Development of Source Artificial Intelligence Algorithms that Flexibly and Adaptively Respond to Changes
- Research on Privacy-Preserving AI Techniques that Maintain High Performance across Various Tasks
IngenioAI
Development of a Platform with Data Anonymization Features and a Solution
for Assessing the Appropriateness of Policies
Partnership
Business AI for All Industries
Specialized in Time Series Data Prediction/Analysis Solutions and Projects
Automotive
Food & Beverage
Medical Devices
Life Sciences
Agriculture
Manufacturing
Infrastructure
Research and Partnership
For Research and Partnership Inquiries,
Please Contact Us via Email.
info@ingenio.ai