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成功大學 Search Result 79
    • New insight into the brain: Optical imaging/stimulationspiking neural circuit models

      New insight into the brain: Optical imaging/stimulationspiking neural circuit models

      div style="text-align: justify"Constructing a functional connectomeits computational model is a crucial step toward understanding the mechanisms of brain functions. To achieve this goal, we developed two correlated technologies: (1) An all- optical physiology (AOP) that is capable of millisecond volumetric imagingaccurate stimulation in living animal brains. This system allows us to establish functional connectomeneural coding with a single-cell resolution. (2) A cellular-level spiking neural circuit simulation system that is capable of tuning itself based on the input data from the AOP system. We have demonstrated our technologies in the Drosophila late visual systemwill apply them in the brains of larger species such as mice. We expect that our technologies will be able to greatly enhance our knowledge of the brain operation principles. Our 3D all-optical physiology (AOP) platform incorporates single-photon point stimulationtwo-photon high-speed volumetric recordings (Optics Letters 2019, "Editors pick"). We have demonstrated its effectiveness in studying the anterior visual pathway of fruit flies (iScience2019). In comparison, contemporary high-speed AOP platforms are limited to single-depthdiscrete multi-plane recordings that are not suitable for studying functional connections. Our high-resolution computational model is constructed based on the combination of static connectomeAOP data,is much more realistic than the existing models. Our work aids establishing in-vivo 3D functional connectomescomputational models of the brains, thus provides insight into the mechanisms of brain functions./div
    • Chung Yuan Christian University, R&D Center of Smart Manufacturing

      Chung Yuan Christian University, R&D Center of Smart Manufacturing

      Web interface of CPS platform: Although many factories have introduced MES and scheduling systems, they have not been integrated with the CPS architecture. The transmission of information is not transparent and automated, and it is difficult to ensure the relevance and continuity of the information, which affects the control of the entire production process and the on-site real-time information. Our integrated CPS structure enables the project to obtain the best dispatch of the machine and the shortest delivery time. We also use DDS to receives real-time on-site information and presents it as a platform, which enables control the real-time on-site situation. We constructed an advanced plastic mold & molding service platform, combining CPS and cloud architecture, based on the production life cycle, integrating heterogeneous equipment and systems, and it achieves the goals of real-time monitoring of the manufacturing process, rapid iteration and dynamic optimization.
    • 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.
    • Digital Medicine Center of National Yang Ming Chiao Tung University

      Digital Medicine Center of National Yang Ming Chiao Tung University

      AI-based Brain Assessment System: Mental illness is a critical health issue in Taiwan. Psychiatric diagnosis is largely based on self-reported or symptomatic criteria without objective findings. This state-of-the-art psychiatric diagnostic platform using standardized brain imaging data, however, improves the efficiency and accuracy of psychiatric diagnosis. Our platform can easily identify the deficiency in brain regions associated with schizophrenia, provides a novel way to evaluate mental illness and its progression, with powerful visualization. This web-based diagnostic platform has international multicenter validation, scientific publication, patent-pending as well as awarded by the 17th National Innovation Award in 2020, etc. This evidence-based, AI-assisted psychiatric diagnosis platform, validated with large-scale standardized brain imaging. We believe this state-of-the-art diagnostic tool can be a new light on modern psychiatric medicine, and promote mental health in the general population.
    • 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.
    • A smart monitoring system for shrimp growth

      A smart monitoring system for shrimp growth

      This technology uses a customized high-resolution saltwater proof video camera that operates underwater for months on end without maintenance. The captured images are pre-processed to adjust the brightnessmaximize the sharpness, after which the images are input into a region-based convolutional neural networks (R-CNN) for trainingidentification. This technology is currently able to reliable identify shrimp in these imagesto distinguish between the shrimp’s headtail in order to conclude whether the image shows a complete shrimp.
    • 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.
    • Mind Control

      Mind Control

      ALTOMS (Altomated Laser Tracking and Optogenetic Manipulation System) is a real-time computer vision object recognition and laser tracker. It uses a missile-like image recognition and tracking technology, and uses several lasers to accurately hit the tracked object. The laser itself does not have the function of controlling nerves, but when we express light-sensitive proteins on specific nerve cells, we can stimulate or inhibit nerves through lasers of specific wavelengths, which will affect the behavioral outcome.
    • 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.
    • Out of the Lab, a Scientist Dig out the Merit of AI.

      Out of the Lab, a Scientist Dig out the Merit of AI.

      Quote:br / “It is worth giving up some things because of dream pursuing” Professor SHOU-DE, LIN  at the department of computer scienceInformation Engineering in National Taiwan University, Chief Machine Learning Scientist in Appier, said “An escape from comfort zone to seek new challenges makes my life become more colorful.”br /  br / Content:br /  br / Given qualified for being as the freshman of National Taiwan University College of Medicine, Professor Lin chose the department of electrical engineering in NTU as the first priority in Joint College Entrance Examination (JCEE). Though the undergraduate education  did not cultivate him the passion on the field of electrical engineering, Professor Lin said, however, he was still recommended for further study at the graduate institute of electronics engineering in NTU due to his talentsoutstanding academic performance.