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5G Search Result 29
    • 5G C-V2I Enabled Intelligent Real-time Trajectory PredictionWarning System

      5G C-V2I Enabled Intelligent Real-time Trajectory PredictionWarning System

      This study proposes a 5G C-V2I (Cellular Vehicle-to-Infrastructure) enabled intelligent trajectory predictionwarning system, which can be implemented in a framework including RSUs (Road Side Units) with radar detection ability5G edge computing servers. This study exploits artificial intelligence to predict instant trajectories of vehicles at crossroads. The resulting augmented-awareness navigation information is then broadcasted to road users through 5G C-V2I with low latency. In practical applications, road users can obtain real-time dynamics of surrounding vehicles so that their level of safety can be effectively enhanced.
    • 5G C-V2I Enabled Intelligent Real-time Trajectory PredictionWarning System

      5G C-V2I Enabled Intelligent Real-time Trajectory PredictionWarning System

      This study proposes a 5G C-V2I (Cellular Vehicle-to-Infrastructure) enabled intelligent trajectory predictionwarning system, which can be implemented in a framework including RSUs (Road Side Units) with radar detection ability5G edge computing servers. This study exploits artificial intelligence to predict instant trajectories of vehicles at crossroads. The resulting augmented-awareness navigation information is then broadcasted to road users through 5G C-V2I with low latency. In practical applications, road users can obtain real-time dynamics of surrounding vehicles so that their level of safety can be effectively enhanced.
    • A green production of waste carbon to graphite(graphene) nanopowders

      A green production of waste carbon to graphite(graphene) nanopowders

      The invention belongs to the field of low-temperature electrochemical graphitization and is improved by the FFC-Cambridge Process. In comparison to the traditional process, the invention can be at a low temperature of 850oC and shorter process time. This strategy can convert carbon blacks into high-value graphite (graphene). The method is simple, low temperature, without adding catalyzer, and low-cost. The products have a wide range of applications such as energy storage, catalysis, absorption, separation, processing metal cutter, precision die, aeronautics, and astronautics.
    • Indoor Radar Sensing System

      Indoor Radar Sensing System

      The proposed indoor radar sensing system includes two enabling technology, activity recognition and respiration rate estimation. In the former, the proposed framework consists of four major components: denosing, enhanced voxelization, data augmentation, and dual-view machine-learning to lead to accurate and efficient human-activity recognition. In the latter, the proposed system leverages the variation of the phase information of a specific frequency bin of the range profiles, and proposes a dynamic adaptive respiration waveform filtering algorithm to improve accuracy.
    • Mitochondrial Analytic Platform and Nucleotide Applications

      Mitochondrial Analytic Platform and Nucleotide Applications

      Summary Description: 1. Stress alters mitochondrial import of proteins. To monitor changes in mitochondrial import at single-mitochondrial resolution, split GFP epitopes are fused to the target proteins and mitochondrial membranes or expressed in the mitochondrial matrix. 2. General genotoxic agents damage both nuclear and mitochondrial DNA. By expressing mitochondrial DNA binding protein TFAM fused with KillerRed, specific mitochondrial DNA damages by light exposure are induced for investigating mitochondrial DNA damage signal. 3. Quantification of four dNTP pools is important for understanding drug action. The popularity of the analysis has been limited by the requirement of radio-isotope or sophisticated instrumentation. The method of click reaction we designed for measuring dNTPs overcomes the drawbacks of conventional methods. 4. The outbreak of drug-resistant Candida infection in hospital is of concern. We found the distinct biochemical property of Candida TMPK in high affinity to uridylate as the substrate, leading to the discovery of 5FUd (<5 nM) in suppressing Candida growth.
    • Ultrahigh Energy Density Lithium-ion Batteries based on Sustainable Electrodes

      Ultrahigh Energy Density Lithium-ion Batteries based on Sustainable Electrodes

      A small organic molecule with multiple redox-active sites shows promise in the development of next-generation electric energy storage systems, especially for electric cars, green energy, and large-scale energy storage, when used as an active materials in a cathode in lithium-ion batteries (LIBs). Herein, an organic LIB with cathode material based on hexaazatriphenylene embedded quinone exhibits high capacity, high rate capability, and high cycling stability, which are far superior to that of commercial LIBs.
    • NTU CSIE Medical Informatics Lab

      NTU CSIE Medical Informatics Lab

      NTU Medical Genie Precision Health Platform: The product is mainly composed of wearable devices, IoT environmental sensors, deep learning, personal health app and case management platform. It can collect and monitor user's lifestyle and environment automatically, and predict the possibility of emergency to assist medical staff in making decisions. In addition, we opened source the project to solve most clinical studies that require lots of time to build data collection tools and processes.
    • P-SERS: RapidSensitive On-site Detection Platform

      P-SERS: RapidSensitive On-site Detection Platform

      Surface-enhanced Raman spectroscopy (SERS) is a useful analytical technique for detecting extremely small amounts of molecules. Herein, we designed a paper-based quasi-three-dimensional SERS substrate (P-SERS) that can provide potential to improve Raman analyses for food safety, pesticide poisoning, precision medicine, drug abuseDNA/RNA testing. The sensitive, low-cost, flexibledisposable SERS substrate could be easily fabricated by physical deposition of gold nanoparticles array onto a filter paper. In this case, we are able to create non-continuous Au islands on the fiber surfaces, where the gaps between AuNPs can dramatically generate the high electric field to enhance Raman signal of target molecules.
    • Thermoplastic Casting Tape

      Thermoplastic Casting Tape

      The invention relates to a thermoplastic thin 2D mesh fabric composite structure, which particularly can be used as a medical protectorin connection with sporting activities with impact resistance, light weighthigh air permeability,has a reshapeable orthopedic support,fixed support bandages for limbs/joints. The thermoplastic thin 2D mesh fabric composite structure mainly includes a breathable mesh fabrica high molecular polymer coated on the breathable mesh fabric that can be reshapedreused when exposed to heat.
    • AI農情調查之UAV群眾協作平台

      AI農情調查之UAV群眾協作平台

      AI農情調查之UAV群眾協作平台後台支援自動鑲嵌建模,更具備四項突破技術:(1)巨量影像格化技術;(2)平行運算技術;(3)任務規格標準化;(4)UAV任務媒合。致力於打造空中UBER協作服務,未來能應用於農作物分佈調查、大範圍災情調查、農業保險、農地違法使用調查與休耕補助調查等面向。
    • DeepFIND

      DeepFIND

      Artificial Intelligence Automatic Sputum Microscopy System AIASMS: AIASMS can automatically shoot images from sputum smear samples and identify Mycobacterium tuberculosis(MTB). AIASMS can find the most suitable depth for shooting images and then automatically shoot images under the microscope through auto-focusing. These images will be stored in the cloud database. Meanwhile, AIASMS detect whether the sputum smear contains MTB. AIASMS can accurately label the location of the TB. The sensitivity and specificity can reach 90% and 99% respectively. We also cooperate with three hospitals in the northern, central, and southern regions of Taiwan to conduct blind testing, and the sensitivity can be more than 90%. AIASMS can also distinguish between MTB and Non-tuberculous mycobacteria (NTM). Finally, n the expansion of technology, we have extended the identification of the acid-resistant staining to the identification of gram staining, so that our system can widely identify a variety of bacteria.
    • Computer Vision Research Center, National Yang-Ming Chiao-Tung university

      Computer Vision Research Center, National Yang-Ming Chiao-Tung university

      Development of AI Platform for Smart Drone - Intelligent Flight: Due to its high mobility and the ability to fly in the sky, the drone has inspired more and more innovative applications/services in recent years. The goal of this project is to resolve the problem of blindly flying an unmanned aerial vehicle (UAV, which a drone in our case) when it is out of human sight or the range of wireless communication, and three major research and development directions will be considered in this project. Three artificial intelligence (AI) technologies, namely, smart sensing, smart control, and smart simulation, are applied in this project. Smart sensing - a flight system is developed, which can avoid the obstacles, complete a flight mission, and land safely. Smart control - an intelligence flight control system and a light-weighted somatosensory vest are developed. Smart simulation - a cost-effective training system and a 3D model simplification method are designed.
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