• Multifunctional liquid crystal smart cloud sensors

      AI & IOT Application FutureTech Multifunctional liquid crystal smart cloud sensors

      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.
    • Artificial Intelligence for Customs Fraud Detection

      AI & IOT Application FutureTech Artificial Intelligence for Customs Fraud Detection

      With the astronomically growing trade flows, customs administrations need effective and explainable methods to detect suspicious transactions. This project presents a novel artificial intelligence-based model named DATE that ranks trade flows in the order of fraud risk and to maximize customs revenue. We confirm the superiority of DATE over state-of-the-art AI models, with a remarkable precision of 92.7% on illegal cases and a recall of 49.3% on revenue after inspecting only 1% of all trade flows. Predictions of DATE are also interpretable from the attention mechanism. We are deploying DATE in Nigeria and Malawi Customs Services, in collaboration with the World Customs Organization (WCO). DATE has been published in ACM KDD 2020, which is an AI top conference.
    • Intelligent In Situ Monitoring of Membrane Fouling

      AI & IOT Application FutureTech Intelligent In Situ Monitoring of Membrane Fouling

      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
    • Applying Machine Learning to User Mobility Type Identification for 5th Generation Mobile Networks

      AI & IOT Application FutureTech Applying Machine Learning to User Mobility Type Identification for 5th Generation Mobile Networks

      Due to the fast development of 5G networks, it is critical to identify users service types to allocate resources intelligently. Our technology focuses on users' mobility type identification by extracting practical features from users' cellular information. We proposed a system architecture and have collected 700-hour data with 150 GB. By using our data and other datasets in the world, we show that our technology can achieve 95% accuracy, and reduce 16% energy consumption compared to traditional methods.
    • Continuous Monitoring of the CloudRain from Geostationary Satellite

      AI & IOT Application FutureTech Continuous Monitoring of the CloudRain from Geostationary Satellite

      This technology is developed and controlled by the National Central University, Central Weather Bureau and Academic Sinica. The processing system is housed at NCU and technical support is served in Taiwan to the global. The data is acquired and preprocessed by CWB, and followed by the invention of the cloud properties retrieval algorithm package by NCU. The final retrieval algorithm package is evaluated and enhanced by the local observation from Academic Sinica. Therefore, the processing system can be assured for its performance and reliability. This state-of-the-art technology has been recognized and approved by AGU JGR-Atmospheres, the leading journal in Q1 level of the related research community by the anonymous peer reviewing in June 2020.
    • Air/ground cooperation for optimal rice harvesting model

      AI & IOT Application FutureTech Air/ground cooperation for optimal rice harvesting model

      The Air/Ground cooperation for optimal rice harvesting model is established to provide a visual harvesting decision service on a cloud platform. Drones and mobile devices are employing to estimate grain moisture and forecast the variation of harvest moisture content (HMC) in the coming days by huge amounts of imagery data, deep learning algorithms, and weather forecasts. This model can benefit in several aspects, such as setting an accurate and comprehensive optimal harvest schedule, reducing the cost of agricultural apparatus and barn ovens, ensuring the rice quality, and maximizing farmers' benefits. The potential value of the model practice could be more than a billion in Taiwan.
    • A Badminton Training and Activities Recognition System

      AI & IOT Application FutureTech A Badminton Training and Activities Recognition System

      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.
    • 3D Object Referring and Grasp Detection Networks

      AI & IOT Application FutureTech 3D Object Referring and Grasp Detection Networks

      "It is expected that human will work with robots in the coming years. However, it is still unknown how both can collaborate together. Meanwhile, it is still very time-consuming to deploy intelligent robots in production lines. For this work, we investigate deep comprehension for 3D (point cloud)text (voice) signals to enable novel human-robotic object referring for robotic arms. For the task
    • KarmaZone Strike Zone3D Markerless Motion Analysis System

      AI & IOT Application FutureTech KarmaZone Strike Zone3D Markerless Motion Analysis System

      Six synchronized high-speed cameras were installed in the baseball stadium in NTUS. We established the calibration equation of the multi-camera systemestablished an electronic strike zone system, KarmaZone, that can automatically coordinates when the pitch crossed the home plate. From the slow motion videos recorded, the markerless 3D human posture estimation has been developed with the deep
    • AI 2 Robot City

      AI & IOT Application FutureTech AI 2 Robot City

      ”AI2 Robot City” is a game-based learning kit for primary and secondary school students, which combines AI image-recognition teaching tool of MIT App Inventor and the computational thinking board game named as "Robot City." Through this learning kit, users will learn to make smart cars, create image-recognition models, write and perform mobile application. Users will learn to write a program to recognize the personal cards in the board game, and furthermore to control the smart cars with blue-tooth and compete in the computational thinking board game.
    • 人工智慧於息肉狀脈絡膜血管病變之診斷與治療決策之應用

      AI & IOT Application FutureTech 人工智慧於息肉狀脈絡膜血管病變之診斷與治療決策之應用

      This system help doctors to distinguish age-related macular degeneration (ARMD)polypoidal choroidal vasculopathy (PCV) by color fundus photography. We have collected large image dataset from Taipei Veterans General Hospitalother hospitals to establishvalidate CNN model, which had been tested by external image datasetmodified to improve the accuracy of the AI model.
    • 基於轉移學習之青光眼眼底照片診斷系統-適於各醫療院所之平台發展

      AI & IOT Application FutureTech 基於轉移學習之青光眼眼底照片診斷系統-適於各醫療院所之平台發展

      A transfer learning-assisted glaucoma detection system was build first with training images from the fundus images database of Taipei Veterans General Hospital,then fine-tuned to improve its applicability on fundus images from different datasets. This system aims to assist clinic-based glaucoma screening to increase the diagnostic rate of glaucoma by using existing healthcare facility.
    • Taiwania2 & Taiwan Computing Cloud

      AI & IOT Application FutureTech Taiwania2 & Taiwan Computing Cloud

      TWCC provides services with up to date container technology. Through optimized AI software, developers can quickly deploy, which increases efficiency by 40 compared with the past. Also, it supports high-speed parallel computing. A further increase of 30 compared with current cloud services. In addition, TWCC will integrate AI programstools from different fields to become the largest model m
    • Multilayer Cybersecurity Defense ServiceSystem Development

      AI & IOT Application FutureTech Multilayer Cybersecurity Defense ServiceSystem Development

      1. CDX is to provide an environment for long periods of time in coordination with school courses, including the simulation of a real company's network environment with randomly selected vulnerabilities in cyber defense contests. 2. HoneynetMalware Knowledge Base simulates systemapplication vulnerabilitiesthen monitors the cyber-attacksthe corresponding traffic flow.
    • 5G Low Latency Massive Access Technology

      AI & IOT Application FutureTech 5G Low Latency Massive Access Technology

      The CPS-OFDM technology by NTU enjoys the best spectral efficiencydesign flexibility among the 5G candidate new waveform designs. CPS-OFDM is integratedjointly optimized with the high performance SCMA by Univ of Surrey to achieve high communication efficiency, high reliability, low latency, for boosting the productivity of the factories of the future (FoF).
    • Real-time identification of crop losses using UAV imagery

      AI & IOT Application FutureTech Real-time identification of crop losses using UAV imagery

      This technology integrates 1000+ times of UAV imaging experiences with labeled rice lodging images for training. A rice lodging recognition model using deep learning reaches 90 accuracy. The recognition model can be deployed in a microcomputer mounted on UAVs to implement edge computing. While taking aerial images, the inference can be completedreveal lodging areadamage level in-time.
    • The Application of Intelligent Agricultural Control System on Orchard

      AI & IOT Application FutureTech The Application of Intelligent Agricultural Control System on Orchard

      This project integrated with industrial foresight technologies, including UAV, artificial intelligenceimage recognition, to collect real-time images, apply algorithm in evaluation, link the technology of IOT (Internet of Things)environment sensing,use unmanned vehicle to conduct controlling work.
    • Intelligent Image RecognitionAnalysis System for Small-sized Insect Pest

      AI & IOT Application FutureTech Intelligent Image RecognitionAnalysis System for Small-sized Insect Pest

      This study built an automatic insect pest image identification system based on tiny Yolov3 deep learning model. By optimizing the tiny Yolov3 detection model, images of insect pests on scanned sticky paper can be automatically identified. The system achieves a testing accuracy of 0.93, 0.90 for whitefliesthrips respectively.
    • AIoT smart aquaculture management systems

      AI & IOT Application FutureTech AIoT smart aquaculture management systems

      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.
    • A Secure IoT Communication Technique with Ultra Low Power Wake-Up Scheme

      AI & IOT Application FutureTech A Secure IoT Communication Technique with Ultra Low Power Wake-Up Scheme

      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.
    • Consumables-free, remote,rapid optical detection of plant pathogensDr. Lan

      Precision Health Ecosystem FutureTech Consumables-free, remote,rapid optical detection of plant pathogensDr. Lan

      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.
    • Personalized emotion sensing for spoken dialog interface

      AI & IOT Application FutureTech Personalized emotion sensing for spoken dialog interface

      The technology is an integrated solution incorporating the retrievable personality for multimodal emotion sensing for spoken services. This framework provides a real-world flexibility that enables the estimation of the target speaker emotion states without manual personalization.
    • External Field-Free Spin-Orbit Torque Magnetic Random Access Memory

      AI & IOT Application FutureTech External Field-Free Spin-Orbit Torque Magnetic Random Access Memory

      STT-MRAM: scaling down (submicron scale) along with issues of magnetic propertyintegration with semiconductor processing. SOT-MRAM: fundamental understanding on mechanism, integration with STT-MRAMCMOS for readout. VCMA-MRAM: understand the mechanism behind the observable VCMA phenomenon, integration with other RAMs for write/read.
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