Sensor

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.

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 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 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 developed multi-functional bio-sensor chip has the advantages of excellent detection performance, wide application,low mass production. At present, we have already cooperated with upstreamdownstream manufacturers for mass production of the multifunctional bio-sensor chips. At the same time, cooperate with the instrument manufacturer to develop a simple portable electrochemical detect

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.

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.

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

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.

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.

A flexible PPG sensor patch for measuring pulsations of blood vessels estimating ambulatory blood pressure monitoring (ABPM). The measured quality PPG signals are analyzed to estimate blood pressure (BP), heart rate (HR), blood oxygen (SpO2)atrial fibrillation (A-Fib)avoid motion artifacts. In this way, with subject’s physiological condition apprehended accurately.

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 first waterproof fabric-based multifunctional triboelectric nanogenerator that can produce electricity from natural tiny impacts (rainswinds)body movements is presented. It can not only serve as a flexible, adaptive, wearable,universal energy collector but also act as a self-powered fabric-based interface. This multifunctional yet nimble energy device can provide new vision for decentralized, remote,wearable energy technologies.

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.

"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)"

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 develops an intelligent surgical pressure detection system, including a pressure sensing element embedded in a surgical cotton pad, a signal reading device,a big data analysis database. The measurement data can be transferred to the AI big data database. Using AI technology, the surgeon＇s force can be recognized in real timethe calculation result can be immediately returned to the system APP. Let the surgeon who performs the operation get the most real-time information, which can avoid organ damage during the operation,effectively protect the safety of patientsthe rights of physicians.

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).

Although masks protect us from COVID-19, they cover a substantial portion of the face,eliminates important facial expressions during communications. EmoMask is a human-AI collaborative mask that mediates these interactions in mask-wearing environments through emotion-aware sensorsAI algorithms, which works with humans to create facial expressions. The EmoMask system identifiesdifferentiates expressions using TinyML-based AI algorithm,conducts real-time classificationsregressions to create matching facial expressions during a communication while faces are covered.

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

We develop smart fabrics by electrospinning crystallinity-modified self-healing materials, which are facilitated by the reversible physical crosslinking between poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP)ionic liquid. The fiber morphology can be maintained without losing the fibrous structure. The fabrics can achieve the healing effects without the need of seamingany adhesive. The fabrics are waterproofbreathable. By printing electrically conductive channels using ionic liquid, capacitive pressure sensorsresistive tensile sensor arrays are fabricated.

The objective of this project is to develop a portablewireless urine detection systemplatform for prevention of cardiovascular disease. The main idea is to develop a system-on-chip, a microelectrodemicrochannel chip to detect biomarkers concentrations in urine. And then, it will be wirelessly transmitted to a smart application platform to evaluate user’s cardiovascular status.

Through patented wearable sensor fusion technology, human 3D motions can be captured in real-time which allow 7-DOF robotic armdexterous robotic hand to perform anthropomorphic motiongrasping action. Integrated with eye-in-hand visual module, the adaptive gripper can intelligently decide optimal grasping strategy to ensure success grasping of arbitrary shape of objects in smart manufacturing applications.

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

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

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.