The total electron content derived by existing ground-based GNSS (Global Navigation Satellite System) receivers is used to construct a network of space buoys for real time monitoring traveling ionospheric disturbances triggered by tsunami waves. This space buoy network shall act as a tsunami early warning system confirming the tsunami originpropagation.

The core technology includes lightweight UAV, heterogeneous sensor integration, obstacle avoidance, group flight automatic flight control, RTK precision positioning systemfruit tree 3D stereo modeling technology. The UAV can be used for 3D scanningspectral information collection. The information can use for fruit tree growth monitoring, nutrient analysis,fruit quality monitoring.

Two indoor positioning techniques are presented. The first one is a monocular vision based landmark matching scheme for identifying absolute indoor locations. The scheme requires just one photo shotmatches it with a landmark database to obtain the location. The landmark data base can be easily adapted to different fields. The proposed scheme is highly computing efficient. The correct landmark identification rate is up to 90the positioning accuracy is 1.5m. The second one is a relative positioning scheme based on ultra-wide band (UWB) technology. It can be employed on an automatic guided vehicle (AGV) to implement the trailing function. The accuracy of positioning is 80cm.

iTech has developed an Innovative Wireless Positioning&Tracking System. iShield can simultaneously detect drones & operators. iPosition tracks thousands of targets indoor. iFollow is an auto-following function for smart droids.

Drone delivery is a popularemerging application at present. However, existing drone delivery systems can only deliver to outdoor open spaces via GPS,cannot directly to the interior of recipient＇s building. In the era of covid-19 pandemic, we aim to reduce human contactpropose a drone delivery system that can deliver packages to the doorstepthe interior of buildings,to achieve fully automatic control of the drone by developing visual positioning technique.

Looking for a specific book can be tiresome, especially in bigger libraries. Browsing through unfamiliar shelves regarding to call numbers indeed sets readers back.Through IoT technologies, the iLib Guider combines library cataloguenavigation functions. The user will be guided directly to the shelf where the book is located right after searchingscanning the ISBN code. Through the accurate positioning, this APP even points out which block of the shelf the books is stored. User then can self-checkout on the smartphone, finishing the end-to-end service without assistance of the staff.

Photonic_Workshop@CCMS.NTU has successfully developed a motorized micro-mapping system to explore and navigate samples. This system is able to acquire high resolution images to produce a sample map automatically. This map is also synchronized with the coordinates of motorized stages. This achievement allows users to explore and position their hotspots from the map, and precisely deploy the hotspot to the central field of view by motorized stages. In addition, this mapping system can combine with a laser scanning confocal spectral microscope (LSCSM) to acquire sample spectral mapping. Our result has shown the capability to improve the efficiency of hotspot positioning and data acquisition process.

BeDIS has the following distinguishing features:1.Is easy to configure, deploymaintain 2.Location accuracyresponse time not affected by crowds 3.Can function without Internet 4.Supports waypoint-based indoor navigation 5.Supports diverse indoor location-based APPsservices

A 3D wireless tracking system for minimally invasive spine surgery navigation is developed based on the mm-wave radar technique. It has the benefit of multi-target trackingsmall-sized transponder. With the cooperation of radar systemtriangulation algorithm, the maximum error of 3D positioning is less than 1.8 mm in the distance of 1.2 m

The major cost of conventional RFID tags comes from a microchip. To reduce the start-up cost, we develop a chipless RFID system that eliminates the use of the chip. This research organize the real-world issues of chipless RFID into four subjects, including the design of chipless tags, chipless RFID readers, reader signal processing,wireless propagation channel. We successfully integrate the four topics, developing a calibration-free, orientation-insensitive,high-capacity chipless RFID system with multi-tag detection capability.

With our autonomous UAV systems, we can effectively reduce many high-riskhigh-cost inspections which require high manpower, such as inspections of dams, river, coastline patrols, etc Operators only need to setuplaunch the system to allow the UAV to complete the designated tasks independently. The UAV will fly autonomously through visual navigation,will detect, record, measuremark the specified objects accordingly, while updating information to the satellite aerial image using spatial positioning technology, so that stakeholders can have a more comprehensive understanding on overall situation.

(1) Image recognition3D positioning of the pest: Modularize the system for testing on the orchard. (2) High efficiency laser pest control scanning system: It was developed to be suitable for windlessbreezy environments. (3) Enhance the economic tracked vehicle for hillside field: Self-developed power designsteering control based on dynamic model,(4) Field UGV control platform: Based on the preciseaccurate positioning in field, when robot operates on the reference path which planned by map, it can do path trackingdynamically obstacle avoiding in real-time.

This theme is designed to implement the robot＇s appearancepractical functions. Apply PSPNet to detect the walkable planeYolo to detect obstacles, so that the robot has the autonomous obstacle avoidance function, informing more information about the environmental obstacles around the visually impaired,apply CNN to locate indoor position with self-built indoor database.

"Intra-needle ultrasound - anesthesia probe provides an innovative way to puncture preciselysafely in thoracic regional anesthesia, especially for high BMI patients. In clinical practice, the anesthetic techniques are performed under ultrasound-guidance. The unmet medical need is to resolve the difficulty in needle tip imaging for high BMI patients. This technique provides an innovative way for pleura identification, tracking, distance measuring,early warning in real-time. It greatly reduces the risk of pleural puncturepneumothorax,improves the safety."

The proposed technologies apply deep learning methodsbig clinical data for lung cancer decision support. The system consists of: 1) CT radiogenomicspatho-genomics for automatic cancer detectionprediction of EGFR mutation 2) demographics to predict survival 3) genomics to predict cancer recurrencemetastasis,4) drug response inference for the best target therapy option. The modules are constructed on an AI-based Clinical Decision Support System (CDSS-SDM). The system is expected to provide physicianspatients with personalized medication recommendations.

The developed Unmanned autonomous underwater vehicles (AUV) included 3-D modeling technology, wireless power transfer between sub-system in AUV, GPS underwater locate system, low complexity frequency domain on ocean floor analyze with AI network, underwater objects detection network, image dehaze network on groundunder water, underwater color correction network, underwater objects classification network, underwater optical characteristic algorithmLED color compensation system.

This probing equipment is integrated by the opto-mechanical, electricalvacuum systematic technologies to efficiently measure the electric properties of gas sensor chips at wafer level. Therefore, we can identify the functionality of each sensor chip in early phasethen discard the unqualified chips to enhance the production efficiencyproducts competition.