Industrial Technology Research Institute

Xuan-Yi Lin

Ya-Wen Lee

Shih-Fang Chang

Ming-Shan Deng

Sheng-An Chang

Jiazheng Zhou

Chao-Chun Yeh

A neural network model fusion method and an electronic device using the same are provided. The neural network model fusion method includes the following steps. An image is received. The image is analyzed through several neural network models. The neural network models include at least two of a degree classification model, a multi-class identification model and an object detection model. Several analysis results are obtained according to the neural network models. These analysis results are converted into a number of conversion factors. The conversion factors are inputted into a fusion model to obtain a fusion result.

Neural network model fusion method and electronic device using the same

A method and a system for recommending an application parameter setting and a system specification setting in a distributed computation are provided. The method includes the following steps. An application information, a framework information and a system information are received. Whether a performance model which includes a relationship of a performance, the application information, the framework information and the system information is stored in a storage unit is determined. The application parameter setting and the system specification setting are obtained according to the performance model, if the performance model is stored in the storage unit.

Method and system for recommending application parameter setting and system specification setting in distributed computation

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Taichung, Taiwan

Xuan-Yi Lin