Under the support of the MOSTHigher Education SPROUT projects, we have successfully developed a new model of the FOG aiming for the sensing vibrational environment. Our miniaturized integrated optical gyroscope vibration sensors (CIGS), only 250 grams in weighthalf of a business card in footprint, feature high performance (bias stability 1o/hr)cost effectiveness. The sensor is the key to many applications such as the seismic front wave detectionthe vibration monitoring of volcanos, wind turbines, wafer isolation platform, high tension towers, buildings,vehicle bodies.

The long trace profiler (LTP) can be used to measure the figureintermediate frequency roughness of an X-ray mirror. The measurement process is accurate, high-speednon-contact. The radius of curvature for the measurement may be ranged from a value from 5 m to infinity, such that the surface profile feature can be measured in the range with a longitudinal resolution of 0.15 nm.

This research develops an innovative method for patterning arbitrarycomplicated 3D microstructures on metallic roller surfaces. This roller mold manufacturing system consists of digital light processing, arrayed microlensesoptical fibers,precision servo-controlled motion technologies. Based on this arrayed UV beam pen system, seamless roller molds are fabricated for roller imprintin

Optical coherence tomography using an optical probe with a diameter of 0.9 mm, combined with the 14-18 gauge needle, is used for clinical needle puncture. Using the real-time image obtained from the tip of the needle in the tissue, the needle position can be identified. Combined with artificial intelligence can achieve objective, accurate and automatic identification of the tissue, which has been successfully verified in anesthesia and laparoscopic surgery.

We propose a novel AI-based few-shot self-supervised learning method for automatic optical inspection image quality assessmentcomponent detection based on only few training images. Our method iteratively learns the feature representations of the components by using self-similarity of these components. With the large number of self-learned representations, the appearance variations of each component are then effectively learned in the AI model for component detectionmeasurement. The computation complexity of our method is significantly lower than that of deep learning methods.

This 1.6Tb/s silicon photonic chip adopts the semiconductor technology to integrated optical couplers, splitters, modulators, and 4x16 AWG optical multiplexer into a 5mm x 5mm area. Thanks to the support of Ministry of Science and Technology (MOST) and Taiwan Semiconductor Research Institute (TSRI), this novel 1.6Tb/s silicon photonics chip is designed at the end of 2018 and send to IMEC to produce. After getting the chip at the beginning of 2020, those separate devices of optical edge coupler, optical splitter, optical modulator, and 4x16 AWG optical multiplexer have been measured and verified. The overall chip performance has also been checked by injecting lasers and the light signal has been coupled by singlemode fiber to demonstrate the feasibility of this novel silicon photonics chip.

Swelling at the extremities of the extremities is quite common in KD,it is one of the five major diagnostic criteria for KD. According to the results of our research, about 90 of the children will have this symptomis the most important symptoms of KD suggested by American Heart Association. Our research also found that albumin decreased,the degree of reduction is obviously positively related to the severity of the disease, so we have developed a theory that can detect water, hemethe optical method of oxygen. Provides a non-intrusive method for quick differentiation.

"a.The Digital ArchivingConservation System of Cultural Relics combines various imaging techniques like catoptric imaging, 3D renderingmulti-spectral imaging, which provides multiple scientific images data for the inspection of cultural relics. b.Environment Detection System allows controlling the environmental device from a far distance."

We developed a unique integrated quantum polarization entangled light source, in addition to generating a quantum polarization entangled photon pair, the integrated quantum chip also utilizes a special adiabatic optical light transfer array to integrate the on-chip polarization-dependent spectral splitting via the quantum tunneling effect. The integrated quantum light source provides a stable polarization entangled source for the more quantum applications.

"For video anomaly detection, we apply pretrained models to obtain the foregroundthe optical flow as ground truth. Then our model estimates the information by taking only a single frame as input. For human behaviors, we take the human poses as inputuse a GCN-based model to predict the future poses. Both the anomaly scores of these two works are given by the error of the estimation. For defect detection, our model takes patches of the image as inputlearns to extract features. The anomaly score of each patch is given by the distance between the patchall the training patches."

We apply diffuse reflectance spectroscopy method to accurately determine the skin properties of subjects. Our device has a very simple configurationthe detected reflectance is processed with an advanced, efficient machine learning algorithm to quantify the skin composition of subjects.

Based on the optical fluorescence of the plant, the technology distinguishes the difference of the main protein infected by virus from the normal ones with the feature light. The main difference of this technology is to omit the complicatedbiochemical-material- consumption procedures. With the establishment of big data, the artificial intelligence algorithm identifies whether the implant is.

This technology uses in-situ optical photointerrupt sensorin-situ acoustic ultrasonic transducer to measure the growth of fouling layer thickness during membrane water treatment. Being the world’s first to combine real-time filter speed attenuation dataphysical mode of clogging, the clogging of film can be instantly analyzed in a smart way which in turn effectively extends its lifetime. T

Our solution is able to noninvasively reconstruct 3D skin microstructuremicroangiography with micrometer-scale resolutions for diagnoses of skin disorders. Moreover, various skin parameters can be quantitatively evaluated from 3D images according to the proposed algorithms, including the thickness of stratum corneum, the thickness of epidermis, water concentration, collagen concentration,skin roughness. The developed technique can be applied to different clinical environments including hospitalscosmetic clinics for diagnosesanalyses of skin.

Constructing a functional connectome and its computational model is a crucial step toward understanding the mechanisms of brain functions. To achieve this goal, we developed two correlated technologies: (1) An all-optical physiology (AOP) that is capable of millisecond volumetric imaging and accurate stimulation in living animal brains. This system allows us to establish functional connectome and neural coding with a single-cell resolution. (2) A cellular-level spiking neural circuit simulation system that is capable of tuning itself based on the input data from the AOP system. We have demonstrated our technologies in the Drosophila late visual system and will apply them in the brains of larger species such as mice. Our technologies will greatly enhance knowledge of brain operation.

The chromium-doped zinc gallate, ZnGa2O4:Cr3+, material is viewed as a long-lasting luminescent phosphor which can avoid tissue autofluorescence interference for in vivo imaging detection. The cubic ZGC revealed a specific accumulation in liver0.5 Gy used at the end of X-ray excitation was sufficient for imaging of deep seated hepatic tumors.

In autonomous driving, LiDAR can clearly distinguish the objectsget the object information such as speeddistance at medium-range (~100 m) for autonomous driving scheme entering Level 3. Therefore, in this study, we combine the reflective optical phased array (OPA) chip1550-nm VCSELs with a photodetector, a ToF chip,a microcontroller to produce an eye-safe, all-solid-state,low cost (less than $100 USD) LiDAR module, which is the world＇s leading LiDAR technologymore cost-effective than the current products for autonomous vehicle market.

Searchlight is composed to high brightness redgreen LEDs. The message of Morse code is transmitted through LED colorlengths of ”on/off” time in human-machine interface. CCD image sensor integrated with LEDs receives light signal of LED from another ship,then identify the real message through the image recognition software.

This technology is a new microarray chip sensing technology that integrates "organic light-emitting diodes", "liquid crystal chemical sensors" and "mobile communication system" into "multifunctional liquid crystal smart cloud sensors". The obtained signals are uploaded to the cloud for multi-dimensional analysis to achieve multiplex detection in one single sample. This sensor device is lightweight, low-cost, simple to operate, and the target-of-interest can be custom-made according to user needs.

This breaking-through technology aims at designingconstructing a compliant prone-type ring-scanning inspection platform incorporated with a simultaneous multi-frequency driving NIR light source to complete a diffuse optical imaging system. The realized system has two features superior to other counterpart imaging equipments: (i) compliant flexible optical channels to collect optical information,(ii) simultaneous multiple frequency driving light source. It brings the benefits to improve the accuracy of reconstructed imagesshorten examination time for test subjects.

The environmental information is very important to the human life, the proposed technologies of Environment Sensing Hub including: (1) Air sensing hub: temperature sensor, humidity sensor, pressure sensor, infrared sensor, noise sensor (microphone), PM 2.5 sensor (2) Water sensing hub: heavy metal ion sensor, spectrochip

The proposed TOA-STFM is a spatiotemporal image fusion technology that can preserve top-of-atmosphere (TOA) reflectance. By fusing high spatial (Landsat-8SPOT-6)high temporal resolution (Himawari-8) images, the fused 10-minute-6~30-meter-resolution images can solve the problem of existing air quality monitoring techniqueseffectively capture the dynamic changes of air quality in near-real-time.

This technology is developedcontrolled by the National Central University, Central Weather BureauAcademic Sinica. The processing system is housed at NCUtechnical support is served in Taiwan to the global. The data is acquiredpreprocessed by CWB,followed by the invention of the cloud properties retrieval algorithm package by NCU. The final retrieval algorithm package is evaluatedenhanced by the local observation from Academic Sinica. Therefore, the processing system can be assured for its performancereliability. This state-of-the-art technology has been recognizedapproved by AGU JGR-Atmospheres, the leading journal in Q1 level of the related research community by the anonymous peer reviewing in June 2020.

This technique uses multimodal nonlinear optical microscopy with the image contrast of second harmonic generation (SHG)coherent anti-Stokes Raman scattering (CARS). By analyzing the nonlinear signals on images, it can be used to characterizequantify the structural variation in the collagen scaffolds processed with different crosslinking methods. The correlation between signalsmechanical properties can then be derived. Additionally, comparative analysis of these two signals can be used to monitor the structural (triple-helix) change of collagen molecules during the crosslinking processes.

Concerning the uncertainty of assuming well-mixed aerosols within the planetary boundary layer, a sensible aerosol vertical distribution described by a log-normal fitting function is proposed to provide more realistic single-peak extinction profile with a decadal MPL in situ dataset. The performance of fitted single-peak aerosol profiles can reach up 0.8973 of correlation coefficient when considering the seasonal variations in PBLH and the surface layer height of well-mixed aerosols. Eventually, not only the aerosol extinction profile but also the 3-dimensional distribution are promising to be created from satellite AOD retrieval with PBLH information for providing accurate PM2.5 monitoring over a regional scale.

This probing equipment is integrated by the opto-mechanical, electricalvacuum systematic technologies to efficiently measure the electric properties of gas sensor chips at wafer level. Therefore, we can identify the functionality of each sensor chip in early phasethen discard the unqualified chips to enhance the production efficiencyproducts competition.

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