18509735. ARTIFICAL INTELLIGENCE APPARATUS FOR DETECTING TARGET GAS IN SMALL SAMPLE DOMAIN AND OPERATING METHOD THEREOF simplified abstract (ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE)

ARTIFICAL INTELLIGENCE APPARATUS FOR DETECTING TARGET GAS IN SMALL SAMPLE DOMAIN AND OPERATING METHOD THEREOF

Organization Name

ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor(s)

Jae Hun Choi of Daejeon (KR)

Do Hyeun Kim of Daejeon (KR)

Hwin Dol Park of Daejeon (KR)

Seunghwan Kim of Daejeon (KR)

Hyung Wook Noh of Daejeon (KR)

Chang-Geun Anh of Daejeon (KR)

YongWon Jang of Daejeon (KR)

Kwang Hyo Chung of Daejeon (KR)

ARTIFICAL INTELLIGENCE APPARATUS FOR DETECTING TARGET GAS IN SMALL SAMPLE DOMAIN AND OPERATING METHOD THEREOF - A simplified explanation of the abstract

This abstract first appeared for US patent application 18509735 titled 'ARTIFICAL INTELLIGENCE APPARATUS FOR DETECTING TARGET GAS IN SMALL SAMPLE DOMAIN AND OPERATING METHOD THEREOF

The patent application describes an artificial intelligence apparatus for detecting a target gas in an environment.

• Mixed gas measurement unit measures mixed gas in different domains using a sensor array to generate sensing data.
• Heterogeneous intelligence model deep learning unit trains a model with data from different domains.
• Target intelligence model deep learning unit trains a model with data from the target domain.
• Target gas detection unit determines the presence of the target gas in the environment using the trained models.

Potential Applications: - Environmental monitoring - Industrial gas detection - Safety and security systems

Problems Solved: - Efficient detection of specific gases in complex environments - Enhanced accuracy in gas detection

Benefits: - Improved safety measures - Early detection of harmful gases - Automation of gas detection processes

Commercial Applications: Title: "Advanced Gas Detection System for Industrial Safety" This technology can be used in industries such as manufacturing, chemical processing, and oil & gas for ensuring workplace safety and compliance with regulations.

Prior Art: Readers can explore prior patents related to gas detection systems, artificial intelligence in environmental monitoring, and deep learning models for gas detection.

Frequently Updated Research: Stay updated on advancements in artificial intelligence for gas detection, sensor technologies, and applications in environmental monitoring.

Questions about Artificial Intelligence Gas Detection: 1. How does this technology improve gas detection accuracy compared to traditional methods? 2. What are the potential challenges in implementing this AI gas detection system in real-world environments?

1. How does this technology improve gas detection accuracy compared to traditional methods? This technology utilizes deep learning models trained on heterogeneous data to enhance the accuracy of gas detection by analyzing multiple domains simultaneously, leading to more precise results compared to traditional methods that rely on single-domain data.

2. What are the potential challenges in implementing this AI gas detection system in real-world environments? Some challenges in implementing this system in real-world environments may include sensor calibration, data integration from multiple domains, and ensuring the models are adaptable to different environmental conditions. Additionally, there may be concerns regarding data privacy and security when deploying AI systems for gas detection in sensitive areas.

Original Abstract Submitted

Disclosed is an artificial intelligence apparatus for detecting a target gas, which includes a mixed gas measurement unit that measures a mixed gas collected in a plurality of domains through a sensor array to generate sensing data including heterogeneous domain measurement data measured from the mixed gas collected in a domain different from the target gas and target domain measurement data measured from the mixed gas collected from the same domain as the target gas, a heterogeneous intelligence model deep learning unit that receives the heterogeneous domain measurement data to train a heterogeneous intelligence model, a target intelligence model deep learning unit that receives the heterogeneous intelligence model and the target domain measurement data to train a target intelligence model, and a target gas detection unit that determines whether an environmental gas includes the target gas using the target intelligence model.