The present invention relates to a building natural energy conversion ventilation device, which has cleaning indoor and outdoor air, also has air-conditioning cooling heating supplies, which can make the intake air closer to the dew point temperature of the indoor side air after heat exchange, thereby reducing the heat load of the heat source unit, Enhance its operating efficiency, achieve energy saving avoid waste heat emission.

The dialogue system is the main subsystem of the visually impaired navigation system, which provides destinations for the navigation system through multiple dialogues. We use the knowledge graph as the basis for reasoning. In terms of close-range navigation, deep learning technology is used to develop RGB camera detection depth algorithm, indoor semantic cutting algorithm, integrated detection depth estimationindoor semantic cutting in indoor obstacle avoidance, etc. The whole system uses the CellS software design framework to integrate distributed AIoT systems.

The technology realizes a perovskite nanocrystal-polymer composite material, which has extremely high stability at room temperaturehigh temperature. It can be used for 3D printing, shaped into fluorescent microfilaments,can also be used for white light-emitting diodes. The application of this air-stabile perovskite nanocrystal-polymer composite material in the 3D printing industry, texti

The present invention can be applied to many wearable devices. Its technologies include wireless signal transmission control systems, airbag pneumatic methods,airbag analogue variants. Its various system controls are designed to be modularized so that users can repairreplace them. Possible applications include VR AR wearable systems, unmanned vehicle control systemmedical rehabilitation system.

AI model is consisted of detection, data pre-processingclassification ensemble model. We applied YOLO 3 to detect vertebral body from radiography,used data pre-processing to reduce image noisyenhance contrast, integrated ResNet34, DenseNet121, DenseNet201 into AI mode. Our result reveals the ensemble model has better performance in accuracy, sensitivityspecificity.

We develops a precision smart healthcare platform to deliver a comprehensive medical care experience to the elderly by Artificial Intelligence of Things (AIoT) technology. The platform offers health education, community interaction, personal health information,rehabilitation logs. It can be used as a basis for clinical staff to conduct diagnosistreatment. The system development tools use PHP programming languageLaravel framework to develop all arithmetic logic,gradually complete the dynamic association databaseinteractive web page functions.

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.

This study proposes a double elastic steel sheet vibration energy harvester system (DESS VEH), where the vibration generated by the deformation and/or clap of two magnetic excited elastic steel sheets is assisted by a piezo-patch to generate electric energy. The proposed model can be applied on an unmanned helicopterany other multi-rotor drones. The downstream flows from the rotors are collecteddriving a wind-turbine to excite the vibration steel sheet(s) systemgenerating electric power.

Integrating deep learning, 3D information analysis, hyperspectral analysis, computer vision analysiscombined the multi-source images to develop fruit quality monitoring techniques, including: planting area monitoring, position monitoring, yield monitoring, harvesting time prediction, fruit maturity measurement, fruit quality testing, to achieve the goal of enhancing industrial value.

"Tool replacementtool life diagnosis" in smart manufacturing is a key link between the quality of workpiecethe efficiency of the manufacturing process, so it is an indicator of the operating efficiency of machine tools. This technology combines on-site monitoring data, laboratory analysisdeep learning to provide best tool selectionprocessing parameter combinations for

Compared with the isolation areathe outdoor environment, the air pressure isolation channel is a positive pressure environment. It can completely avoid that the unsterilizedfiltered air outside the building will not enter the isolation area,perform regional protection to maintain the cleanliness of the indoor environment.

A technique compatible to IC process has been presented to prepare gas sensing chips the lightly-doped region of nanoelectronic devices are grown with different sensing materials to form a gas sensor array. During gas sensing, individual nanodevice was Joule-heated, reducing power consumption to microWatts/device, solving the current high power consumption problem. With self-calibration of temperature, humidityinterfering gas, problems like cross-sensitivity, quantification, specificitysensitivity are solved. A demonstration of I+Nose with smart phone was presented for CO detection.

"Coach Box" ideatechnology are derived from "CoachAI：金準羽球" project of the Ministry of ScienceTechnology "精準運科". The integrated technologies of "Coach Box" including computer vision, deep learning, machine learning, IoT, wearable applications, automation equipment,big data. The expected outcomes of "Coach Box" to show player performancegive expert advice through activities analysis of vision data. Simultaneously, it can be used as a medium for productive communication between coachesstudents.

Similar to the critical point tracking technology of human vision, the split attentionspatial grouping enhancement module, combining the multi-path grouping architecturespatial attention technology, can accurately extract important information from the imageimprove the network performance. Moreover, adopting neural architecture search technology to automatically search for the most suitable network architecture based on current moduleshardware devices can balance diagnosis speedhigh accuracy.

The RL model develops a control policy directly from experience to predict statesrewards during a learning procedure. Hence, we designed a medical image environment including US images, different actions,rewards, agent learns in this environment to extract the ALN regionevaluates the status. The performance of our proposed method achieves an accuracy of 83.6, a sensitivity of 88.6,a specificity of 89.0.

Here, we develop a comfortable dental headpiece with aerosol reduction function as shown in Figure 3. This can not only help reduce the air pollution, but also reduce noisevibration, enabling future dental treatment to be safermore pleasant. Air curtain are traditionally used to contain pollutants in large area, here we used the air curtain technology to contain air pollutants in a small area at the sourceadded negative ions to remove air pollutants within. This technology can also be applied to other handheld tool that emits air pollution.

This product-oriented technology is to utilize water chestnut husk as a starting precursor in the production of activated carbon using physical activation process.The resulting activated carbon is characteristic of its high microporosity, high BET surface areatotal pore volume, which is superior to commercial activated carbon products.

The Artificial Intelligence Underwater MonitoringManagement system is a system that integrates aquacultureinformation technology, which can collect image data of shrimp 24/7 by using IoT devices, then next enhance the images that collected under different light, water qualityturbidity. The system will recordanalyze the number, size, healtheating status of white shrimp, checking the amount of leftovers feed on the feeding tray, then manage the feeding strategycontrol water quality based on the above analysis.

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.

This system provides multiple functions for digital slides, allowing users to complete all tasks without switching between different software systems. The functions include, Project management, Image management, Annotation, Zoon In / Zoom Out view, Navigation view, Category shortcuts, Authority management,Annotation overview.

We developed a wearable ultrasound monitoring device to monitor the collapse of tongue roots of sleep respiratory patients throughout the night,completed clinical trials in the sleep center. The experimental results show that this device can effectively monitor OSA. The tongue structure changes at the timeintegrates ultrasound information into the commercial PSG system. It is expected

In the face of the COVID-19 pandemic, many restaurants have been closed for maintaining anti-epidemic measures. NCHC combined multiple AI technologiesdeveloped an automated service experience to provide a way for people to still enjoy the services received at restaurants while maintaining social distancing. To achieve this, we＇ve incorporated technologies including the following: NLP in AI, Cloud-Based Smart Point Cloud Processing (CSPCP), method for face searching in images, intelligent video analysisretrieval,artificial intelligence of things (AIoT).

The study focusses on developing smart sportswear for Taiwan national athletes. The research adopts invention patent No. I1621405 for a 3D sculpturing garment manufacturing procedure to construct the functional textiles from Lee Yaw Textile Co., LTDWu Luen Knitting Co., LTDusing electronic module from ZoeTek Inc. This made it possible to visualize the muscle data of athletes to complete

Our technique is a liver tumor detection method using machine learning which is the most popular AI technique in these years. the high-magnification image provides more details, but the view is smaller in contrast, a low-magnification image has the larger view but less details. Thus, our method combines the two magnificationsyields more accurate tumor detection results.

"The IHC staining intensity grading algorithm combines a series of complementary processes of deep learningimage processing in order to overcome the difficulties in cell boundary segmentationgrade definition,provides a cell-based IHC staining intensity gradingquantification capability. The proposed method serves as a useful assistive tool for physicians in performing accurate staining quantification in tissue microscopic images. In addition, it analyzes panoramic pathological images in order to determine the factors most strongly associated with likely disease recurrence."

Concerning the uncertainty of assuming well-mixed aerosols within the planetary boundary layer, a sensible aerosol vertical distribution described by a log-normal fitting function is proposed to provide more realistic single-peak extinction profile with a decadal MPL in situ dataset. The performance of fitted single-peak aerosol profiles can reach up 0.8973 of correlation coefficient when considering the seasonal variations in PBLH and the surface layer height of well-mixed aerosols. Eventually, not only the aerosol extinction profile but also the 3-dimensional distribution are promising to be created from satellite AOD retrieval with PBLH information for providing accurate PM2.5 monitoring over a regional scale.

Assisted by in-house AI deep compression toolchain (ezLabel, ezModel, ezQUANT, ezHybrid-M), the proposed technology supports automatic AI model designoptimization with the integrated performance of 120x model size reduction70x power reduction in 2D CNN model,develops a world-first 1/2/4/8-bit CNN model realized by the developed high efficiency Hybrid fixed point CNN NPU (Hybrid-NPU), which has been verified in Xilinx ZCU102 FPGAachieves the performance up to 2.5 TOPS(8-b)/ 20TOPS(1-b)@28nm technology running at 550MHz4TOPS/W energy efficiency.

Combined the advanced synchrotron beamline with the in-situ processing technologiesthe diversified measurement systems, we provide a parametrizable AI platform for material manufacturing processes, microstructures,product performance.

The vMic is a noise-free surface vibration microphone that senses speaking vibrations through contact with the skin near the throat. With our advanced AI compensation algorithm, the voice algorithm analyzespersonalizes your own voice accordingly. Two mechanism designs enable the vMic to be easily adhered to people’s skinclipped on people’s clotheshats. Compared with other commercial microphones, the vMic is easier to carry, very friendly to usethe voice quality is guaranteed.

PANCREASaver contains a “PC automatic segmentation model” (image segmentation)a “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 omissionsincrease the detection rate of pancreatic cancer.