Technical Projects
Humanization in Task-oriented Conversational Agents
Tools: Python, NLP, LLM, Algorithms
A short-term, extended task-oriented conversation system designed to gather user feedback about a lecture in a user-centered manner. The system leverages hierarchical state transitions to guide the conversation effectively.
How this system is different and serves your purpose?
A key advantage of this system is its adaptability to specific requirements. The pre-defined scripts utilized in the original implementation can be entirely replaced with your own custom scripts.
Key features include:
- State Management: The architecture currently supports a maximum of four "superstates."
- Survey Structuring: It is recommended to partition your survey questions into up to four main thematic blocks.
- Scalability: Each block can handle an unlimited number of individual questions.
Digital Twin of an Intelligent Production line with Adaptive Resource Handling
Tools: Discrete Event Simulation, Fuzzy inference system, Siemens Tecnomatix Plant Simulation
During low-demand periods of the transformer manufacturing process, large-scale factories face severe problems due to a lack of utilization of the available resources, thereby leading to unexpected machine failures. There is a need to understand the production line behavior and allocate the resources that suit particular demand, maximizing the use of all available resources so that machine downtime will be eventually reduced.
We modeled the digital twin of the electric transofrmer production line using actual data such as operation time per part and machine failure rates. Bottlenecks and inefficiencies were identified through multiple simulations. An algorithm using multiple fuzzy logic controllers were implemented to monitor performance and optimize machine combinations.
To do so, we proposed a fuzzy logic-based machine switching strategy for workers to increase the throughput of the production line by 12.5% in a 20 days of simulation run.
Video Demonstration: