Abstract: A method of predicting a central fishing ground of flying squid family Ommastrephidae, includes three steps of setting spatial and temporal dimension, setting environmental factor, and establishing a central fishing ground prediction model. The spatial and temporal dimension includes three levels of spatial dimensions, and two levels of temporal dimensions of week and month. An SST is selected as a main environmental factor, and two environmental factors, i.e., SSH and Chl-a, are selected as a supplement. The environmental factors include four situations. According to the setting situations of the spatial and temporal dimension and the environmental factor, a set of sample schemes of 24 situations is established using permutation and combination method. An error backward propagation neural network model is established, wherein an input layer inputs data of the sample scheme set, and an output layer outputs a CPUE or a fishing ground grading index converted from the CPUE.

Abstract: A method of predicting a central fishing ground of flying squid family Ommastrephidae, includes three steps of setting spatial and temporal dimension, setting environmental factor, and establishing a central fishing ground prediction model. The spatial and temporal dimension includes three levels of spatial dimensions, and two levels of temporal dimensions of week and month. An SST is selected as a main environmental factor, and two environmental factors, i.e., SSH and Chl-a, are selected as a supplement. The environmental factors include four situations. According to the setting situations of the spatial and temporal dimension and the environmental factor, a set of sample schemes of 24 situations is established using permutation and combination method. An error backward propagation neural network model is established, wherein an input layer inputs data of the sample scheme set, and an output layer outputs a CPUE or a fishing ground grading index converted from the CPUE.

Abstract: This invention provides a system and method for setting image-monitoring regions for installing in an image-monitoring system to assist users in setting image-monitoring regions for the image-monitoring system to execute image-monitoring operations accordingly, the method including the steps of: dividing image data outputted by the image-monitoring system into a plurality of unit image regions; selecting unit image regions that need to be monitored according to the image data contained in each of the unit image regions; and having the image-monitoring system to execute a corresponding monitoring operation on the selected unit image regions, thereby making the setting operation of image-monitoring regions more direct and accurate for users' easy operation.