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1 out of 4 Years Active: 2010-2012
Title: The Innovations of Arbee L P Chen
Introduction
Arbee L P Chen is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of wireless sensing technology, holding a total of three patents. His work focuses on developing advanced systems that enhance data processing and sensing capabilities.
Latest Patents
One of his latest patents is titled "Wireless Sensing System and Method Thereof." This invention provides a wireless sensing system that includes a data processing center and a first sensor module. The first sensor module processes a first source data into a first dynamic counting sketch data structure, which has a bit length determined based on the first source data. The data processing center estimates the first source data based on this dynamic counting sketch data.
Another significant patent is "Wireless Sensor Network and Data Sensing Method Thereof." This invention establishes a prediction model according to sensed data. When the statistical value of the sensed data is within a user-allowable range, the average value of the sensed data is returned to the user based on the prediction model. Conversely, if the statistical value exceeds the user-allowable range, the actual sensed data is returned. The prediction model can also be dynamically updated according to subsequently received sensed data.
Career Highlights
Arbee L P Chen has worked with prominent institutions such as the Industrial Technology Research Institute and Tsinghua University. His experience in these organizations has allowed him to collaborate on various innovative projects and contribute to advancements in technology.
Collaborations
Some of his notable coworkers include Guan-Rong Lin and Lun-Chia Kuo. Their collaborative efforts have further enriched the research and development landscape in which Chen operates.
Conclusion
Arbee L P Chen's contributions to wireless sensing technology exemplify his innovative spirit and dedication to advancing the field. His patents reflect a commitment to improving data processing and sensing methods, making a significant impact in technology.