感測器

These stimuli-switchable nanoparticles coated with the cleavable outer polymer coatingmultifunctional peptides may afford a new platform for anticancer drugmiR. These nanoparticles possess characteristics of environmental response, active targeting,gene/chemo combinatorial therapeutics, thus providing spatiotemporal control of posttranｓｃｒｉｐｔional gene regulation, smart nuclear/mitochondrial localization,simultaneous inhibition of multiple progression pathways of tumor cells for enhancing antitumor efficacysafety of cancer therapy.

Inorganic porous nanofibers with surfaceinterface defects are prepared through humidity-controlled electrospinninghigh-temperature annealing technology. Under the irradiation of light sources of different wavelengths (380~780 nm), the bound electrons stored in the valence band can be excited to the conduction band to form free electrons on the surface of the material, generating different intensities of microcurrents, light sensitivitymicrocurrent changes. Because the "inorganic nanofiber" technology has high uniquenesshigh product compatibility, it can be applied to a wide range of markets.

Inorganic porous nanofibers with surfaceinterface defects are prepared through humidity-controlled electrospinninghigh-temperature annealing technology. Under the irradiation of light sources of different wavelengths (380~780 nm), the bound electrons stored in the valence band can be excited to the conduction band to form free electrons on the surface of the material, generating different intensities of microcurrents, light sensitivitymicrocurrent changes. Because the "inorganic nanofiber" technology has high uniquenesshigh product compatibility, it can be applied to a wide range of markets.

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.

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

This multi-sensing system has pH range in 3 – 13temperature resistance of 2 Ω/°C. The conductivity part can clearly distinguish the conductivity of different liquids. This multi-sensor has good stabilitycan be applied to different water bodies in the future,combined with the cloud system, provides a intelligent detection methods.

The smart graphene (Gr) sensor developed by this team is self-assembly arranged through Gr. No traditional polarization process is further required due to use of high conductivity of Gr. Further, because of the conductivity of the Gr sensor itself, no additional electrodes are required for collecting the mechanical-electric signals.The process of manufacturing the piezoelectric film can be simplifiedthe cost of process reduced. Moreover, the Gr sensor can be directly coated on materials with different curved shapes and, the sensitivity of the direct-coated sensor can be greatly enhanced.

This technology is used micro-electro-mechanical systems combined nanomaterials and micro-heater systems, because the interdisciplinary integrated manufacturing technologies are used to make miniaturized sensor elements, which are equipped with bluetooth functions of algorithms and detection devices to monitor the ketones gas concentration during patient breathing applied in healthy care.

The electrochemical sensor can detect bioaminesall amino acids without chemically labeling proceduresenzymatic catalysisbe capable of performing the measurement in pH-varied solutions . The electrodes can be modified with a specific membrane for the selective detection of histamineintegrated with a separation device to perform high selective detection of multi-analytes.

This project developed a CMOS Image Sensor (CIS) for the 2nd generation remote sensing satellite,its main achievement is to improve the ground resolution (also known as the Ground Sampling Distance, GSD) from 2 meters to sub-meter. The 12-cm large size chip of CMOS image sensor is implemented using Back-Side Illumination (BSI) CIS technology with mask stitching technologyutilizing the CMOS Time Delay Integration (CMOS TDI) technology in this design.

Multi-axis force/torque sensors are key components of precision machinesrobot arms. Development of the multi-axis force/torque sensor is a popular research topic in Taiwan. This research developed design methods, calibration machinescalibration algorithms for multi-axis force/torque sensors. These efforts contribute the enhancement of precision of 0.20 (1.25 times than commercialize pro

The smart glove was made by soft force sensor with the multi-walled carbon nanotube cast in the mesh structurecombined with an interdigitated electrode together, then used AC/DC conversionspace calculation to establish the interactive virtual reality(VR) somatosensory system under the wireless. The recipient can achieve the same feedback as the demonstrator＇s behaviorskills in VR.

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.

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.

Based on deep learning camera/radar object detectiontracking technology, the proposed road side unit (RSU) system has achieved over 95 vehicle detection accuracy within 100m detection range in the processing performance of 10fps under nVidia Jetson Xavier platform. Compared to the 32-beam lidar based RSU, the proposed RSU achieves 97 reduction of sensor cost that exhibits high competitiveness in deployment cost. The proposed RSU system has been verified in fieldswe are now cooperating with an industry partner to deploy the RSU system in both TainanTao-Yuan cities.

We have designed a remotely-controlled robot which equipped with a 360 degree full HD camera. User’s postures are detected by measuring the accelerationrotation of changes of limb postures using inertial measurement units (IMU). User’s motion commands are wirelessly transmitted to actuate the remote robot in accordance with user’s posture. The 360 degree full scene camera keeps transmitting the real-time situation of the scene surrounding the robot back to the user, displayed on the VR headset.

"In this project, the proposed technologies of Environment Sensing Hub including： (1) Air sensing hub：integrate H/T/P sensor, PM 2.5 sensorwireless multiplexing module for system-on-package (SiP)system-on-chip (SoC) (2) Water sensing hub：heavy metal ion sensor (modules integration, startup company), spectrochip (systems integration, startup company)"

PCR, a gold-standard diagnostic method, were labor-intensive, time-consuming,costly, which restricted its application to widespread screening. Herein, this study purposes a one-potnon-washing method to rapidly detect virus by dual-SERS mechanism. COVID Antigens were captured by SERS nanoparticlesnovel SERS substrate simultaneously to achieve 6 order enhancements within 20 minutes. The dual-SERS sensors have reached a detection limit of 1 ng/ml in clinical samples for recognizing nucleocapsid & Spike proteins of COVID-19, which is comparable with PCR results.

The optical detection device is fabricated based on the nitrogen dioxide absorbs the wavelength of light from 400nm to 550nm. The detection range, resolution and sensitivity are related to design of light path. The light signals can be received by the photodetector convert to concentrations of nitrogen dioxide which transfer to computer or mobile immediately.；The all-solid sulfur dioxide gas sensor developed by SSID team. The key technology is the special functionality of solid electrolyte and electrode materials, and then the layer material sequentially patterned design and planning. It can be used in high temperature and highly corrosive exhaust gas environment to achieve real-time monitoring of pollution emissions.；The 6'~8'MEMS technology service platform of TSRI was used to develop

The innovative technology is based on the unique biomimetic material, including immunomagnetic nanoparticlesa portable IoT detection device, promoting the detection speed, accuracy,precision of the target molecule. Featuring with the excellent ability of minimizing the non-specific binding, this technology decreases false negative/false positive successfully. The device combines IoTAI module for statisticscalculation on the cloud for building up a magneto-electrochemical IoT sensing system for the integrated isolationprofiling of extracellular vesicles from plasma.

Smallsensitive, high temperature resistant, acidalkali resistanttransparent bending sensor.

"Tool replacementtool life diagnosis" in smart manufacturing is a key link between the quality of workpiecethe efficiency of the manufacturing process, so it is an indicator of the operating efficiency of machine tools. This technology combines on-site monitoring data, laboratory analysisdeep learning to provide best tool selectionprocessing parameter combinations for

The system consists of a racket sensor, a smartphone App, and the IoT shuttlecock serving machines. Data of the 3-axis inertial sensor will be sent to the smartphone via Bluetooth for analysis. The App can recognize 7 stroke activities, including clear, cut, drive, lob, rush, net play, and smash using machine learning algorithms, while the speed, force, and stroke times are recorded at the same time. The App also enables the user to set parameters of the serving machines for assigning shot placements and serving schedules.

Within 10 years, Taiwan will become a super senior society with the proportions in silver hairs of more than 20. Thus, a high-throughputsmart platform with bio-physiology-marker panels is developed for PD progression by combining the bio-medicalphysical sensors, SPRsmart circuit design, leading to a new UPDRS for a more accurateearly diagnosis of a physician.

Our system uses wireless insole in the shoes to measure foot plantar pressure of athletes.

Our team construct an AIoT smart aquaculture management system. The management system mainly consists of: (1) Image Behavior MonitoringAnalysis Subsystem (2) Smart Feeding Subsystem (3) IOT Subsystem including underwater sensors, ROV,Drone (4) Cloud Subsystem (5) Big Data Analysis Subsystem.

This technique uses Tainan 11 (TN11), which occupies about 70 of the rice planting area in Taiwan. Building the early watering warning system of crops by combining the physiological indicators of rice with environmental dataartificial intelligence technology. The system can analyzepredict the impending water shortage for rice in advanceissue drought warning immediately. Therefore, decision makers can give the timelyappropriate amount for rice irrigationimprove the efficiency of using waterreducing the cost of farmersfarming losses.

The proposed technology employed gold nanoparticles (AuNPs) to enhance the sensitivity to achieve PCT rapid detection. The fabricated sensors comprise of suspended glass planar waveguides on glass substratesare integrated with microfluidic channels without vacuum-less processes. The results show good performance with a LOD of 0.871 fg/ml for PCT detection modified. The fabricated sensors show very promising results with a high throughput, enabling mass production for rapidsensitive bio-detectionalso fulfils POCT requirements.

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

This technology integrates acoustic-optical sensing calculationrecognition information,uses hydrophones to estimate the state of dynamic targetsvisually recognizelocate the dynamic target for vehicle motion control. The fusion acoustic-optical sensing architecture can be used according to the target statecharacteristics. By calculatingadapting to the environmenttarget state characteristics, the exploration tasks will be performed.