Abstract: A method of performing automatic tuning on a deep learning model includes: utilizing an instruction-based learned cost model to estimate a first type of operational performance metrics based on a tuned configuration of layer fusion and tensor tiling; utilizing statistical data gathered during a compilation process of the deep learning model to determine a second type of operational performance metrics based on the tuned configuration of layer fusion and tensor tiling; performing an auto-tuning process to obtain a plurality of optimal configurations based on the first type of operational performance metrics and the second type of operational performance metrics; and configure the deep learning model according to one of the plurality of optimal configurations.

Abstract: An intelligent air-conditioning controlling system at least comprises an intelligent controlling device, an air-conditioning, and a plurality of beacons respectively arranged at different zones of a space for sensing environment information in the space. The intelligent controlling device receives the environment information from the beacons, and determines if the space is a comfortable environment based on the environment information. If the entire space is determined an uncomfortable environment, the intelligent controlling device controls the air-conditioning to directly set a target temperature to a comfortable range. If only a specific zone of the space is determined the uncomfortable environment, the intelligent controlling device controls the air-conditioning to execute an adjusting operation in accordance with a position of the specific zone.

Abstract: An intelligent control method applied in an intelligent control system that is having an air condition device, an intelligent control device, and a temperature sensor unit is disclosed and including following steps of: sensing and recording a set of first temperature values of a first time segment with the temperature sensor unit in the first time segment before the air condition device is started; calculating a temperature reference value by the intelligent control device according to the set of first temperature values after the air condition device is started; fine adjusting the temperature reference value by the intelligent control device according to a humidity value currently in the area; and, querying a mode association table by the intelligent control device according to fine adjusted temperature reference value to determine an operation mode of the air condition device.

Abstract: An intelligent control method used in an intelligent control system includes an intelligent control device and an air condition device. The intelligent control device records CO2 amount value in an area continuously after the air condition device is started, and calculates a CO2 reference value based on the recorded CO2 amount value after a luminaire device in the area is turned off. Then, the intelligent control device records the CO2 amount value for a time period and calculates a CO2 compared value after the time period passes. The intelligent control device determines whether the CO2 amount value trend is varied upwardly or downwardly for choosing among keeping the current state, switching the operating mode of the air condition device or turning off the air condition device.

Abstract: An intelligent air-conditioning controlling system comprises an intelligent controlling device, an air-conditioning, a plurality of sensing devices, and a cloud server. The intelligent controlling device receives environment information and user information from the plurality of sensing devices, and calculates a target temperature. The cloud server retrieves a usage record of a user according to the user information, and executes a big data analysis for generating a historical record and recommended environment temperature according to historical data and the environment information. The intelligent controlling device receives the usage record, the historical record and recommended environment temperature and a control parameter from the cloud server, and generates a control command for the air-conditioning in accordance with the target temperature, the usage record, the historical record and recommended environment temperature and the control parameter.

Abstract: An intelligent air-conditioning controlling system at least comprises an intelligent controlling device, an air-conditioning, and a plurality of beacons respectively arranged at different zones of a space for sensing environment information in the space. The intelligent controlling device receives the environment information from the beacons, and determines if the space is a comfortable environment based on the environment information. If the entire space is determined an uncomfortable environment, the intelligent controlling device controls the air-conditioning to directly set a target temperature to a comfortable range. If only a specific zone of the space is determined the uncomfortable environment, the intelligent controlling device controls the air-conditioning to execute an adjusting operation in accordance with a position of the specific zone.

Abstract: An intelligent control method used in an intelligent control system includes an intelligent control device and an air condition device. The intelligent control device records CO2 amount value in an area continuously after the air condition device is started, and calculates a CO2 reference value based on the recorded CO2 amount value after a luminaire device in the area is turned off. Then, the intelligent control device records the CO2 amount value for a time period and calculates a CO2 compared value after the time period passes. The intelligent control device determines whether the CO2 amount value trend is varied upwardly or downwardly for choosing among keeping the current state, switching the operating mode of the air condition device or turning off the air condition device.

Abstract: An intelligent air-conditioning controlling system comprises an intelligent controlling device, an air-conditioning, a plurality of sensing devices, and a cloud server. The intelligent controlling device receives environment information and user information from the plurality of sensing devices, and calculates a target temperature. The cloud server retrieves a usage record of a user according to the user information, and executes a big data analysis for generating a historical record and recommended environment temperature according to historical data and the environment information. The intelligent controlling device receives the usage record, the historical record and recommended environment temperature and a control parameter from the cloud server, and generates a control command for the air-conditioning in accordance with the target temperature, the usage record, the historical record and recommended environment temperature and the control parameter.