進階篩選

Technical category
技術研發單位
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    • Advancement Project for Smart Machinery and Aerospace Industries in Central and Southern Taiwan

      Smart machinerynovel materials FutureTech Advancement Project for Smart Machinery and Aerospace Industries in Central and Southern Taiwan

      The developed technology is a cross-platform interface demonstrates its capabilities via the machining center VP2012. The interface is able to synchronize operating systems for diversified controllers. It integrates multiple functions, such as intelligent thermal balance, intelligent vibration analysis, and artificial neural network learning responsive technique. The developed technology advances software, hardware and firmware of a MIT machining center, setting up a representative example of smart machine for local manufactures, even the whole industry.
    • Development of cutting knowledge base to enhance machine tool performance

      Smart machinerynovel materials FutureTech Development of cutting knowledge base to enhance machine tool performance

      "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
    • 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.
    • Breakthroughsachievements of key technologies of six-axis force/torque sensor

      Smart machinerynovel materials FutureTech Breakthroughsachievements of key technologies of six-axis force/torque sensor

      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
    • Smart glove with soft force sensors for virtual reality somatosensory equipment training

      Smart machinerynovel materials FutureTech Smart glove with soft force sensors for virtual reality somatosensory equipment training

      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.
    • Baseball finger force sensingwireless transmission device with time-series big data analysis system

      AI & IOT Application FutureTech Baseball finger force sensingwireless transmission device with time-series big data analysis system

        This pressure-detection smart baseball obtains applied force, dynamicinertial features of pitcher during pitching. Through the connection between wireless moduleterminal, data will be transferredprovides vibration as a pitching signal. Also, precise adjustment is achievable through back-end analysiscustomized training formulation, which enhances pitching ability, optimizes training,improves pitcher's condition assessment.
    • Efficiency Boosting System for Computer Numerical Control Milling Machine Based on AIBig Data Analytics

      AI & IOT Application FutureTech Efficiency Boosting System for Computer Numerical Control Milling Machine Based on AIBig Data Analytics

      This technique combines more than one AI models to precisely predict current under noisy data from current sensoroptimizes speed rate based on this AI forecasting model. At the same time, it considers the practical requirementslimitations of workpiece surface roughness, tool machine current load, etc. This technique provides decision supports for optimizing parameters of CNC milling machine to keep high efficiencyenhance energy conservation.
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