進階篩選

Technical category
技術研發單位
    • The Study of Chips Characteristics on Tool Life Influence

      Smart machinerynovel materials Innotech Expo The Study of Chips Characteristics on Tool Life Influence

      In the machining, the cutting between the toolthe material produces chips. Cutting parameterstool wear can affect the colorshape of the chips. According to the observer's experience, the cutting conditions for chip formation can be known. It means that using cutting chips to decide wear of cutting tools is theoretically a feasible method.
    • 智能型自極化石墨烯感測器之應用

      FutureTech 智能型自極化石墨烯感測器之應用

      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.
    • Super AI HPC System

      AI & IOT Application FutureTech Super AI HPC System

      Super fast terapixel server allows multiple users to viewanalyze gigapixelterapixel images with mobile devices, such as iPhones, iPads, Android mobiles,laptops at the same time. Users could annotateanalyze the data using built-in tools such as 3d effect, color deconvolution, color quantification, nuclei/object detection, lengtharea measurement,quantitative reporting system.
    • A Smart Clothing Design of Pattern-MakingRefining for Taiwan National Athletes

      AI & IOT Application Innotech Expo A Smart Clothing Design of Pattern-MakingRefining for Taiwan National Athletes

      The study focusses on developing smart sportswear for Taiwan national athletes. The research adopts invention patent No. I1621405 for a 3D sculpturing garment manufacturing procedure to construct the functional textiles from Lee Yaw Textile Co., LTDWu Luen Knitting Co., LTDusing electronic module from ZoeTek Inc. This made it possible to visualize the muscle data of athletes to complete
    • 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).
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