We propose a spatial-temporal inference model, which uses a large amount of spatialtemporal data in the city to help governmentsenterprises predict future long-short-term important urban indicator values, such as traffic flow, human mobility, pollution level, number of criminal caseseven commercial profitability. The SIM model exploits IoT to integrate multiple real-time geospatial big data, including population, the flow of people, geographical data, Traffic,real-time sensor values. SIM can make effective predictionsprovide explainability for making decisions.

"AI is applied to assist data cleaningcross-database authority control of namesinstitutions in the bibliographic materials such as patents, papersresearch projects. The evolution analysis of industrial technology development is based on the AIbigdata output of technology development in terms of global industries. Next, the focus narrows down to local view, in order to compare each countryinstitute’s technology development path. By using the technology gap model, the strengthsshortcomings of each countryinstitute comparing to the global mainstream development can be implied."

This technique employs AIbig data analytics to precisely forecast cooling load demandestimate efficiency of different chiller combinations. Time-of-Use Pricingoptimal chiller load interval are also considered for practical needs. Decision supports of optimal chiller configuration are provided to enhance energy conservation.

This technique combines more than one AI models to precisely predict current under noisy data from current sensoroptimizes speed rate based on this AI forecasting model. At the same time, it considers the practical requirementslimitations of workpiece surface roughness, tool machine current load, etc. This technique provides decision supports for optimizing parameters of CNC milling machine to keep high efficiencyenhance energy conservation.

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

This technique employs AIbig data analytics to precisely forecast cooling load demandestimates the efficiency of different chiller combinations. Time-of-Use Pricingoptimal chiller load-interval are also considered for practical needs. Decision supports of optimal chiller configuration is provided to enhance energy conservation. Moreover, using real data feedbackmodel health examination, the model can do self-calibrationmake evolution, continuously learn from the experts,provide decision supports in good quality.

"1.Background: The deterioration of lithium batteries leads to safetycost issues. Ultrasonic detection has the advantages of cost, size,immediacy. 2.Detection: Under the control environment, the ultrasonic signal is actuated on each part of the battery,the reflectedtransmitted wave is collected. 3.Analysis: It has methods such as spectrum, image,DL to evaluate the SoH, the distribution of degradation types,the location of faulty cells in the battery module. 4.Theory: Use the acoustic properties of the battery with software simulation to verify the measured data."