Laifa Fang

Title: Laifa Fang: Innovator in Water Quality Prediction and Augmented Reality

Introduction

Laifa Fang is a prominent inventor based in Hong Kong, CN. He has made significant contributions to the fields of water quality prediction and augmented reality through his innovative patents. With a total of 2 patents, Fang's work showcases his expertise and commitment to advancing technology.

Latest Patents

One of Laifa Fang's latest patents is a self-adaptive optimization framework for water quality prediction. This framework predicts water-quality data from observation data associated with raw features, such as rainfall. An artificial neural network (ANN) computes the predicted water-quality data from feature data associated with impact features derived from the observation data. The impact features are learnable and selected from candidates that include directional change-based features, which indicate occurrences of directional change events in corresponding raw features. By incorporating these features, the ANN enhances its ability to capture significant change patterns in water quality due to extreme or unexpected events. The architecture of the ANN is also configurable according to model hyperparameters, which are learnable. The impact features and model hyperparameters are optimized through differential evolution to maximize prediction performance, allowing for automatic adjustments without manual intervention from domain experts.

Another notable patent by Fang involves rating and advising for the selection of augmented reality markers. In this system, when a user requests to update the marker database using a first sub-image, the system computes a suitability score to evaluate the feature richness and uniqueness of the sub-image against existing markers. If the suitability score falls below a threshold, the system searches for a second sub-image that meets the criteria. The second sub-image, along with its suitability score, is then presented to the user in real-time, suggesting its use as a new marker to enhance the database's feature richness or uniqueness.

Career Highlights

Laifa Fang is currently employed at the Hong Kong Applied Science and Technology Research Institute Company, Limited. His work at this institution has allowed him to collaborate with other talented individuals in the field, furthering the impact of his innovations.

Collaborations

Some of Laifa Fang's coworkers include Zheng Long Li and Kar-Wing Edward Lor. Their collaborative efforts contribute to the advancement of technology in their respective fields.

Conclusion

Laifa Fang's innovative patents in water quality prediction and augmented reality demonstrate his significant contributions to technology. His work not only enhances predictive