The network technology plays an important role in the industrial control systems (ICS)then has become the target of cyber-attackers. For industrial internet-of-things (IIoT) applications with limited computing resources, designing an effective NIDS is challenging. A compacteffective NIDS for IIoT is proposedvalidated by using the more recent UNSW-NB 15 dataset to improve the detection capability against new types of attacks in the real world. Experimental results show that the proposed method achieves better performance than previous methods.

The innovative technology is based on the unique biomimetic material, including immunomagnetic nanoparticlesa portable IoT detection device, promoting the detection speed, accuracy,precision of the target molecule. Featuring with the excellent ability of minimizing the non-specific binding, this technology decreases false negative/false positive successfully. The device combines IoTAI module for statisticscalculation on the cloud for building up a magneto-electrochemical IoT sensing system for the integrated isolationprofiling of extracellular vesicles from plasma.

An automated agricultural machinean intelligent crop production decision-making system are developed for greenhouse asparagus growth monitoring. Automationenergy-saving machinery technologiesInternet of Things/information communication techniques are adopted to achieve the goal of "saving laboreffort"improve "management technologies". The developed machinesystem can greatly improve the qualityquantity of domestic asparagus production,achieve the dual goals of stabilizing the outputenhancing quality of harvested asparagus.

An intelligent multi-wavelength lighting system was developed and the wavelength and brightness of the lighting system can be adjusted for clinical use by physicians. It is also equipped with several functions such as reminder of lighting, parameter records of use time, lighting brightness and wavelengths. The systems could help the patients adjust the physiological parameters based on the deployment of lighting system. The using lighting parameters would upload to the data base in cloud, and which can compare with the psychological evaluation parameters for treatment physical impact analysis in hospital. With the lighting system, the problem such as poor sleep quality can be greatly improved, and the occurrence probability of mild cognitive impairment and dementia can be deferred.

The first waterproof fabric-based multifunctional triboelectric nanogenerator that can produce electricity from natural tiny impacts (rainswinds)body movements is presented. It can not only serve as a flexible, adaptive, wearable,universal energy collector but also act as a self-powered fabric-based interface. This multifunctional yet nimble energy device can provide new vision for decentralized, remote,wearable energy technologies.

The innovative technology which is based on the unique biomimetic material, including immunomagnetic nanoparticles, aqueous extraction solvent,a portable IoT detection device promotes the detection speed, accuracy,precision of the target molecule. Featuring with the excellent ability of non-specific binding, this technology decreased the probability of false-negative/false-positive succe

This creative platform is about an interactive music platform. The main purpose is to enable users to integrate musicinteract to achieve the effect of a music theory that combines the basic rhythm of training with the basics of learning.

The invention focuses on the early fry culture, including algae, live-food organism, water quality control, fine image detection,automated intelligent culture technology. By connecting environmental parameter sensing equipment, fine image observation equipment, automatic feedback/delivering equipment,central intelligent learning/processing platform, an intelligent production system of aquatic fry can be completed,the big data on production parameters can be collected, optimizing breeding strategiesefficiency,increasing the breeding profitability more than 10 times.

Current 5G communication devices have a huge demand in high resolutiondensity of metal conducting wires in electronics ( 40 μm line width/line spacing), which cannot be achieved by conventional screen printing (100 μm). Our group cooperated with Ample Technology to develop a new-generation silver conductive paste which enables photolithographyachieves outstanding line resolution (5 μm width/13 μm spacing). The paste is simple to useperforms comparable of those of major European, AmericanJapanese manufacturers.

The overall system first extracts embedded speaker identity features using a neural network model, then the deep neural network speech enhancement takes the augmented features as the input to generate the enhanced spectra. With the additional embedded features, the speech enhancement system can be guided to generate the optimal output corresponding to the speaker identity.

This system uses the innovative AIoT application to target annoying scalp maintenance problemsdevelops an intelligent scalp detectionmanagement system. The core of the technology is to use deep learning-based object detection models. Tens of thousands of microscopic image data sets that are labeledtrained for scalp symptoms. As a result, the scalp image recognition module is develop, such as dandruff, hair loss, oil, and inflammation, etc. Hence this system can provide scalp detection, and maintenance effectiveness tracking functions lead scalp maintenance services to a new level of intelligent management.

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.

Based on the mass production technique to fabricate 2D materials developed by our group, efficient gas sensors against NOx with sensitivity of 100 ppb are successfully demonstrated. In comparison to international competitors, our products exhibit superior sensitivityselectivity. Furthermore, the technique would be extended to other 2D materials to fabricate various gas sensors against multiple target gases. The integration with internet of things would then open new feasibilities for early monitoring in environmental pollutionhuman safety.

Based on the optical fluorescence of the plant, the technology distinguishes the difference of the main protein infected by virus from the normal ones with the feature light. The main difference of this technology is to omit the complicatedbiochemical-material- consumption procedures. With the establishment of big data, the artificial intelligence algorithm identifies whether the implant is.

The water two-phase change is used for energy conversion,the average air flow rate of the invention can be completely isolated as long as 0.2 m/sec, which can save 6RT freezing capacity equivalent to 6KW energy consumption compared with the conventional smoke exhausting cabinet body, effectively interacting with the outside world. Space isolation to avoid leakage of high pollution toxic gases

NCREE has originally developed 5D digital space—on the basis of 3D city modelsconnections of different kinds of sensors around the world— is an online to offline virtual space with a combination of rising 5G technology advantages. Collectingreorganizing various 3D cartographic data with Building Information Modeling (BIM), satellite imagery, UAV 3D modeling, LiDar point cloud data, etc., can increase the diversity of the buildinglandscape. 5D+5G smart city platform would accelerate the 5D smart city to become the digital twin of a real city.

An IOT sensor was presented to detect human motionvital signs with Wi-Fi signals. It mainly combines MIMO beamforming, injection-locking radarmachine learning techniques to recognizetrack physicalphysiological activities for health status monitoring. As a proof of concept for pandemic prevention, the presented sensor aims to inspect whether someone is exhibiting signssymptoms of COVID-19 infection within the Wi-Fi coverage area, such as fatigue, cough, shortness of breathirregular heart rhythm,even to detect sudden death.

With the rapid growth of the aging population, the safety of the hospitalized elderly has become an important issue. Therefore, our team propose an innovative bed-exit alarm system using multiple sensors for bed-exit detection. With data fusion, IoTAI technologies, the system can achieve early detectionsignificantly reduce false alarms. In addition, it can realize real-time video streami

Our technology combines optimized semiconductor manufacturing technique with unique biomediator preparation to achieve the first reliable POC biosensing platform. Sensors developed according to this method possess reproducibility, accuracy,stability that meet POC. Our sensors are portable, require low sample volume, do not require sample processing,are extremely suitable for use in POC settings. They can also be integrated into IoT systems to aide in rapid decision making,can be mass produced. Overall, we are the first to achieve accessible, reliable detection at the POC.

This project is to implement a 37-40 GHz mmWave transceiver supporting 4096 QAM modulationis utilized for long-distance 4K/8K real-time image data transmission. The 37-40GHz band is divided into 500 channels,the AI technology is used for the TRx to carry out digital calibration. The achievement is TRx module (SoC/SiP)would be installed on the UAV for wildlife resources monitoring.

This project aims to incorporate the state-of-the-art InformationCommunication Technologies (ICT), the Internet of Things (IoT), Big Data techniques in linking every aspect of community-based integrated long-term care (LTC), improving the efficiency of care servicesadministrative process,to realize the idea of Aging in Place emphasized in the Long-term Care Policy 2.0 in Taiwan.

On base of the advantages of dye-sensitized solar cells (DSSCs), including easy fabrication process, low cost,the high energy conversion efficiency under room light conditions, DSSCs were utilized as self-power suppliers for devices involved in internet-of-things (IoT) systems.