Abstract: The present invention discloses an online testing system and a testing method for computer programs. The online testing system includes a communication unit, a storage unit and an operation unit. The communication unit is configured to connect with an external device, and receive a computer program from the external device. The storage unit is configured to store a raw data, a program execution module, a data generation module and an evaluation module. When the computer program is received, the operation unit is configured to: perform the data generation module to generate a testing data and a solution corresponding to the testing data according to the raw data; perform the program execution module to execute the computer program based on the testing data for generating an execution result; and perform the evaluation module to generate a score according to the execution result and the solution.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.