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.

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.

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 project is used for advanced driver assistance systems (ADAS)automatic driving. At present, our project will use a more sensitive CMOS single photon detector array to reduce the number of photons required for detection to less than ten, in order to break through the cost barriers of applications of LiDARestablish low-cost, high-performance LiDAR modules.

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.

In this work, we demonstrate a dual multiplication layers In0.52Al0.48As based avalanche photodiode, which is desired for ToF lidarFMCW lidar application due to its high performances in both Geiger modelinear mode operations. By combining the specially designed mesa shape with dual M-layer structure, we can achieve high single photon detection efficiencyneat temporal characteristic of 65ps . On the other hand, we can also achieve high gain-bandwidth product ,high saturation currenthigh photo-generated RF power under 0.9 Vbr at the same time.

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.

We have successfully developed a multiphoton-induced hyperspectral microscopy based on a 1064 nm femtosecond excitation source. Nonlinear excitation by the laser localized to the focal point allows efficient non-descanned detection (NDD) while achieving optically sectioned imaging. The use of 1064 nm laser excitation increases the imaging depth while minimizing sample damage. The system combines the advantages of NDD for 3D imagingrich spectral information through confocal hyperspectral imaging, leading to potential applications in the emerging material R&Dbiomedical research.

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

This project with aim of promoting digital optics education is funded by Ministry of Education. In the entry-level class, students are guided in the hand-on experiments to bring up the ability to set up optical pathsto learn the basic optics principles. In the advance-level class, students are encouraged to work on a 3D holographic project using the fast-response LCOS-SLM developed in Digital Optics Teaching Laboratory of NYCU. Students are able to apply different computer-generated holography (CGH) algorithmsdesign optical path accordingly to obtain desired holographic images.

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.

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.

In CB-XLCT imaging, when nanophosphors are delivered to tumor tissues,irradiated by X-rays, luminescent light with wavelength range of 500-700 nm will be exciteddetected by optical camera from different directions. After reconstruction, it can provide tumor locations. The micro-CT subsystem also provide X-rays to excite nanoparticles for luminescence tomography.

"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."

This technology develop a “Thermoelectric Ever-Charge Portable Charger” for the applications in auxiliary charging of consumer electronicsfast self-charging for outdoor sensors. Technically, a sputtering depositiona semiconductor photolithography technique are combined to fabricate p-n materialsconnection procedures. The thermoelectric performance of the device is further optimized through a low-temperature heat treatment.

Current 5G communication devices have a huge demand in high resolutiondensity of metal conducting wires in electronics ( 40 μm line width/line spacing), which cannot be achieved by conventional screen printing (100 μm). Our group cooperated with Ample Technology to develop a new-generation silver conductive paste which enables photolithographyachieves outstanding line resolution (5 μm width/13 μm spacing). The paste is simple to useperforms comparable of those of major European, AmericanJapanese manufacturers.

"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.

Our system is achieved by integrating diffractiondeep learning methods, which allows high-throughput lensless imaging system to display wide rangehigh-resolution images. In addition, the developed extraction chipsprototype were verified to accurately detect the numberproportion of blood cells under low blood demand. Our system shows great potential in point-of-care blood cells monitoring for cancer patients that could reduce infection riskmortality rate, increase efficacy of chemotherapysupport precision medicine.

This technology proposes the preparation of Anodic Aluminum Oxide (AAO) templates on the surface of aluminum. The structural color of AAO is combined with lithography process to form patterns on the substrate, which can achieve high resolution on various aluminum substrate for decoration. Also, rewritable boardinvisible anti-counterfeiting technology are proposed for innovative applications by the low-cost, high-efficiency,high-saturation AAO structural colorpatterning.

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.

In this study, the embedded LiDARAI recognition of smart headlight for autonomous driving is demonstrated. At driving process, the vehicle can provide artificial intelligence to identify the type, distancespeed of the object to be measured based on the fusion data of the LiDAR point cloudoptical image of the environment,then feedback to the headlight control system. Finally, this smart headlight would perform the suitable lighting mode during the daynightfit the automotive lamp safety regulationsstandards (ECE R112SAE J3069).

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.

We proposed a positioning integrated gyroscope (PIG) with a unit price of less than US$3,000. A pilot test was conducted in the tunnel section. The positioning error of the MEMS gyroscope was 4,300 meters at a moving distance of 7.8 kilometers,because there was no GNSS signal in the tunnel. The signal of GNSS module only uses the built-in IMU for positioning, the maximum error is also 348 meters. We move 7.8 kilometers, the error is 89 meters73 meters, the overall error are MEMS (55), GNSS (4.5),the team＇s module (1.1), the internationally marketed inertial FOG (0.9).

This project develops a high-precision maskless lithography system consists of digital light processing, microlens / spatial filters arrays,precision servo-controlled motion technologies. Based on this maskless UV lithographic system, we are able to achieve UV patterning of arbitrarycomplicated 2D/3D microstructures for advanced IC substratepackaging.

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.

The DNN models of this technology include a LithoNet, an OPCNet,a layout novelty detection network. LithoNet is a learning-based pre-simulation model for layout-to-SEM contour prediction,OPCnet is a dual network of LithoNet for photomask optimization. Integrated with a well-trained LithoNet, our layout novelty detection network, consisting of a self-attention guided LithoNetan autoencoder, can check if there are layout patterns easily resulting in local distortions in contours of metal lines based on multi-modal (global-local) feature fusion.