Qiang Ding

Title: Qiang Ding: Innovator in Deep Learning and Video Data Storage

Introduction

Qiang Ding is a notable inventor based in Hangzhou, China. He has made significant contributions to the fields of deep learning and video data storage, holding three patents that showcase his innovative approach to technology.

Latest Patents

One of his latest patents is a fault detection method for refrigeration units based on an improved deep learning model. This method involves several steps, including obtaining operating parameters of a refrigeration unit in various states, detecting local outliers using a local outlier factor algorithm, and constructing a fault detection model to determine if the refrigeration unit has a fault and its type. Another significant patent is a video data storage method, which includes detecting whether written data exists in the video cache space and managing the storage of I-frame data efficiently. This method ensures that video data is stored effectively, even when the cache space is full.

Career Highlights

Qiang Ding has worked with prominent organizations such as Zhejiang Uniview Technologies Co., Ltd. and Hangzhou Dianzi University. His experience in these institutions has allowed him to develop and refine his innovative ideas, contributing to advancements in technology.

Collaborations

He has collaborated with notable colleagues, including Zuohua Wu and Hao Cheng, which has further enriched his work and research in the field.

Conclusion

Qiang Ding's contributions to deep learning and video data storage highlight his role as an influential inventor. His patents reflect a commitment to innovation and problem-solving in technology.