Oscillator is a very important device of significant components in electronic products. This invent proposes a new method for calibrating oscillator frequency. By this technique, the oscillator product using this invent can output the frequency of clock signal flexibly from 1MHz to 200MHz through a programmer setting. This invent is the first low-cost oscillator control chip in the world that can set the frequency of output clock signal. In addition, this invent developed the smallest package 20x16 mm2 oscillator for next-generation consumer electronics in the world.

Based on the mass production technique to fabricate 2D materials developed by our group, efficient gas sensors against NOx with sensitivity of 100 ppb are successfully demonstrated. In comparison to international competitors, our products exhibit superior sensitivityselectivity. Furthermore, the technique would be extended to other 2D materials to fabricate various gas sensors against multiple target gases. The integration with internet of things would then open new feasibilities for early monitoring in environmental pollutionhuman safety.

"The team established material doping technology to greatly improve the piezoelectric properties of lead-free materials,successfully prepared MEMS lead-free triaxial piezoelectric accelerometers. The use of lead-free materials is the world＇s first development result. In addition, the team also integrated sensors, back-end circuitsuser interfaces, applied the acceleration gauge system to the safety monitoring of unmanned vehicles,successfully integrated the intelligent integrated sensingcontrol system required in the Internet of Things era."

This work presents a low powersecure IoT communication scheme. A physical unclonable function (PUF) based mutual authentication scheme in conjunction with a trusted third party (TTP),the low power transceiver with secure wake-up mechanism are integrated for networkhardware security thereby enabling to extend the battery lifetimeensuring reliability for the IoT systems.

Dynamic vision sensors have been investigated to report motion-only images for moving object recognition. Less but essential information helps post-process recognition algorithm reduces computationimproves accuracy. Implement low powerlow latency deep Learning chip based on neuromorphic Intelligence. The neuromorphic obstacle detection algorithm integrates visualproprioceptive signals. The algorithm is characterized by its efficiencylow power consumption. We possess the next-generation in-memory computing AI chipsnext-generation UAV key softwarehardware technology