Yen-Chuan Chen

This inventor holds 8 USPTO granted patents. Top assignees: Wistron Corporation, United Microelectronics Corp.. Active years: 2016-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yen-Chuan Chen. Retrieved from https://idiyas.com/inventor/yen-chuan-chen

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 8

% Patents Active = 100.0

Average Co-Inventor Count = 2.5

ph-index = 2

Forward Citations = 7(Granted Patents)

Company Filing History:

United Microelectronics Corp.

patents

Years Active: 2016-2022

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8 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 11362887 - Monitoring method based on internet of things, fog computing terminal and internet of things system (2022-06-14),

2. 11297157 - Data capturing device and data calculation system and method (2022-04-05),

3. 11212283 - Method for authentication and authorization and authentication server using the same for providing user management mechanism required by multiple applications (2021-12-28),

4. 11163815 - Method for dynamically processing and playing multimedia contents and multimedia play apparatus (2021-11-02),

5. 10896330 - Electronic device, interactive information display method and computer readable recording medium (2021-01-19),

6. 10750076 - Network device, image processing method, and computer readable medium (2020-08-18),

7. 9941220 - Integrated circuit (2018-04-10),

8. 9343493 - Image sensor (2016-05-17),

Title: Yen-Chuan Chen: Innovator in IoT and Fog Computing

Introduction

Yen-Chuan Chen is a prominent inventor based in Taipei, Taiwan. He has made significant contributions to the fields of Internet of Things (IoT) and fog computing. With a total of 8 patents, his work focuses on enhancing the efficiency and functionality of IoT systems.

Latest Patents

Yen-Chuan Chen's latest patents include a monitoring method based on IoT, a fog computing terminal, and an IoT system. This innovative monitoring method utilizes a fog computing terminal that downloads an application package from a cloud server. It also downloads a general model from the cloud server through the application package. The terminal sets one or more IoT devices into a device group to receive multiple sensing data from the group. It executes incremental learning based on the sensing data and the general model to create an incrementally learning model for controlling the device group. Another notable patent is a data capturing device and a data calculation system and method. This device transmits sensing data to a computing device and receives a machine learning model and a library corresponding to the current scene. The device runs the machine learning model to capture feature data from the sensing data and converts a requirement into a service task.

Career Highlights

Yen-Chuan Chen has worked with notable companies such as Wistron Corporation and United Microelectronics Corporation. His experience in these organizations has contributed to his expertise in developing advanced technologies in IoT and fog computing.

Collaborations

Yen-Chuan Chen has collaborated with talented individuals in his field, including Chih-Ming Chen and Hsiao-Wen Tin, who is a woman. These collaborations have further enriched his innovative projects and research.

Conclusion

Yen-Chuan Chen stands out as a key figure in the advancement of IoT and fog computing technologies. His patents and career achievements reflect his dedication to innovation and excellence in his field.

Profile summary based on public USPTO records.

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]