5G

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.

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.

AI-enabled Service Assurance Platform for 5G Vertical Application: The platform can help customers quickly import 5G vertical applications by providing overall customized solutions, including equipment evaluation, network deployment, application importing, network maintenance, and operation optimization. The platform can bridge the gap between the telecom industries and the vertical application industries and provide a total solution for the industries to import 5G vertical applications.

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.

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.

In the prior art of high-efficiency anode materials for lithium-ion batteries, we designed a high-entropy composition and manufactured it through a simple and mass production method. This technology inherits the cocktail effect of high-entropy alloys by combining highly active elements and metal elements. This material can be manufactured by a simple mass production method. It shows high energy density, high Coulomb efficiency and high cycle stability, and becomes a promising anode material for lithium-ion batteries.

The "Viral Vaccine Cell Production Technology Platform" of this exhibition is based on 1. Host cellvirus matchcolonization technology 2. Cell-expressed virus receptor technology 3. Blocking antiviral mechanism of host cell 4. Immortalization technology of host cell 5. Serum-free suspension cell culture technology to produce high-immunity virus vaccine strains containing intact virus antigens.

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.

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.

Electroplated nanotwinned Cu possesses excellent electrical & mechanical properties. It can be applied in three major joints:1. Low thermal budget/ low resistance Cu bonding for high performance computing chip.We are able to achieve low temperature bondinginstant bonding. Low temperature bonding is performed at 150°C for 1 h to achieve low contact resistance copper bonding. Instant bonding is performed at 300°C for 5 seconds under a pressure of 90MPa achieve low contact resistance.2. High strength/ High ductility copper lines in 3D-IC packaging We are able to fabricate high strength foils with tensile strength of 800MPa. After annealing at 150°C for 3 hours, the foil retains a tensile strength of 750MPa. 3. Cu foils for lithium ion battery

The SPC process technology developed by our team has a patented cloth surface treatment and multiple layers of conductive circuit layers (Layout) without etching and transfer printing processes. It can not only be continuously automated production (piece to piece), but also Environmental protection, in line with the green trend of cleaner production.

Monitoring PCDM-specific biomarkers, galectin-3 and S100A9, to serve as a risk assessment of pancreatic cancer on new-onset diabetes patients for early detection of PC.

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.

Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) recombinant antigen A1 inhibits the expression of CD163 on the cell surface by inducing the polarization of M1 macrophage subset, which can further effectively reduce virus invasion and viral infection. A1 can regulate the endogenous genes of alveolar macrophages to activate Th1-type immune response and enhance cellular immunity. Therefore, this technical invention will be beneficial to screen the new generation of PRRSV candidate structural vaccines.

This project integrates clinical physical and mental medical practice, medical engineering, information engineering and social welfare units, adopts cross-fields and uses AI technology, and builds an innovative artificial intelligence auxiliary evaluation and treatment system for dementia care based on cultural context. Establish an early intervention mechanism for early detection of dementia, and establish measures to improve cognitive function, emotional state, social and daily behavioral functions.

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.

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.

Recently, Deep Reinforcement Learning (DRL) has been applied to many AI applications. One of the successful achievements is the AlphaZero, called the Zero method in this project, was presented to learn without human knowledgesurprisingly surpass all the human playersall the AI programs.

Use NLP techniques to realize the automatic coding of ICD10. According to the input of the patient’s age, gender, medical order, admissions, progress note, surgical records, discharge, ICD-10 diagnostic code and ICD-10 disposal code, perform machine learning model training and code prediction.

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.

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。

PANCREASaver contains a “Pancreas Cancer (PC) automatic segmentation model” (image segmentation) and a “Pancreas Cancer (PC) analysis AI model” (image classification) that can read the DICOM format of postcontrast CT images directly for the automatic analysis process. After conducting prep-processing with image processing algorithms, C2FNAS is employed to illustrate the tumor position prior to the diagnosis conducted by CNN. The results can be provided to the physician for diagnostic reference so as to reduce early omissions and increase the detection rate of pancreatic cancer.

The application of voice assistants is becoming more and more popular, however, due to the inefficiency of artificial intelligence-based technology, current products are mostly built by using rules-based methods. Therefore, in this project, we would like to propose some corresponding solutions for different components of the dialogue system to improve the data efficiency and work efficiency of each component.

As we age, our memory also gradually begin deteriorating. At what point should one seek out a consultation with a doctor? Statistics estimate that worldwide, every 3 seconds someone experiences dementia.

This project goes on developing embedded AI deep learning technology focus on the ADAS/Self-driving applications. We develop the technology from five aspects, including automatic object labeling toollabeled datasets, deep learning softwarehardware technology development, various ADAS/Self-driving object detectionbehavior prediction technology, self-driving control technology as well as virtual simulation environment establishment for ADAS/Self-driving applications.

Intelligent Portable Neurofeedback Training System: Highlights of our product: 1. High accurate EEG value (with rigorous hardware and software design and verification) 2. real-time feedback by computer screen or APP 3. can be used at home (easy to ware, easy to use)

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.

Reliability of Cu-to-Cu direct bonging: In order to realize the reliability of Cu-to-Cu direct bonding interconnects, we adopted nanotwinned Cu (nt-Cu) electroplating process to fabricate nt-Cu microbump for Cu-to-Cu direct bonding. Figure (a) is the photo of chip after bonding. Underfill (UF) dispensing was used to protect Cu microbumps. The cross-section SEM image of Cu microbump is shown in figure (b). Some chips underwent the reliability tests, including temperature cycling test (TCT) and electromigration (EM) test. To further study the failure mechanism, finite element analysis (FEA) was done to know the stress and current distribution during reliability test. This research could provide fundamental understanding for Cu-Cu joints with organic dielectric hybrid bonding.

The technology optimizes the antigen protein expression system, so that the structural protein Erns of classical swine fever virus (CSFV) converts insoluble proteins into soluble proteins during the production process. The breakthrough of this technology allows the antigen protein to be applied to the development of an immune attachment screening platform, as a specialized differential diagnostic reagents can distinguish between virus-infected and vaccinated pigs, which can be applied to the monitoring system of virus transmission range and vaccination

Machines need annotations to learn, but human babies learn human languages with almost no annotations. Can machines do the same thing? To allow machines to learn human languages with only observations like human babies, a research team at Taiwan has partnered with the speech research groups in Meta, CMU, MIT, and JHU to develop a brand new self-supervised speech processing evaluation framework, Speech Processing Universal PERformance Benchmark (SUPERB).