Abstract: A method of removing raindrops from video images is provided. The method includes the steps of: training a raindrop image recognition model using a plurality raindrop training images labeled in a plurality of rainy-scene images; recognizing a plurality of raindrop images from a plurality of scene images in a video sequence using the raindrop image recognition model; and in response to a specific raindrop image in a current scene image satisfying a predetermined condition, replacing the specific raindrop image in the current scene image with an image region corresponding to the specific raindrop image in a specific scene image prior to the current scene image to generate an output scene image.

Abstract: The present disclosure provides a method for information storage and a system thereof, which adapts to a data storage system. A monitoring unit is configured to detecting and monitoring operations of a storage node in the data storage system to generate corresponding one and more monitoring data. A recording processor is configured to receiving the one or the plurality of monitoring data, and rendering one or a plurality of logs according to the difference of content of the one or the plurality of monitoring data. The adjustment mechanism is performed according to the stored logs, thereby the amount of large data generated during monitoring is effectively reduced.

Abstract: A method utilized in a computer storage node includes: providing user interface device to be operated by an operator; sensing operation parameter of computer storage node to generate a first detection signal; controlling a display panel of user interface device to display data pattern of first detection signal on display panel according to a time scale; using first portion of first detection signal corresponding to a partial pattern of the data pattern to generate reference signal when the operator uses user interface device to mark a region on display panel to select the partial pattern; and comparing characteristics of the reference signal with characteristics of a processed detection signal to perform a behavior prediction operation.

Abstract: A method of removing raindrops from video images is provided. The method includes the steps of: training a raindrop image recognition model using a plurality raindrop training images labeled in a plurality of rainy-scene images; recognizing a plurality of raindrop images from a plurality of scene images in a video sequence using the raindrop image recognition model; and in response to a specific raindrop image in a current scene image satisfying a predetermined condition, replacing the specific raindrop image in the current scene image with an image region corresponding to the specific raindrop image in a specific scene image prior to the current scene image to generate an output scene image.

Abstract: A method utilized in a computer storage node includes: providing user interface device to be operated by an operator; sensing operation parameter of computer storage node to generate a first detection signal; controlling a display panel of user interface device to display data pattern of first detection signal on display panel according to a time scale; using first portion of first detection signal corresponding to a partial pattern of the data pattern to generate reference signal when the operator uses user interface device to mark a region on display panel to select the partial pattern; and comparing characteristics of the reference signal with characteristics of a processed detection signal to perform a behavior prediction operation.

Abstract: The present disclosure provides a method for information storage and a system thereof, which adapts to a data storage system. A monitoring unit is configured to detecting and monitoring operations of a storage node in the data storage system to generate corresponding one and more monitoring data. A recording processor is configured to receiving the one or the plurality of monitoring data, and rendering one or a plurality of logs according to the difference of content of the one or the plurality of monitoring data. The adjustment mechanism is performed according to the stored logs, thereby the amount of large data generated during monitoring is effectively reduced.

Abstract: A method utilized in a computer storage node includes: providing user interface device to be operated by an operator; providing sensor module to sense operation parameter of computer storage node to generate first detection signal and second detection signal following first detection signal; receiving first detection signal to control display panel of user interface device to display data pattern of first detection signal on display panel according to a time scale; using first portion of first detection signal corresponding to a partial pattern of the data pattern to generate reference signal when the operator uses user interface device to mark a region on display panel to select the partial pattern; receiving second detection signal sent from sensor module after the reference signal is generated; and comparing characteristics of reference signal with characteristics of second detection signal to perform behavior analysis operation.

Abstract: A method utilized in a computer storage node includes: providing user interface device to be operated by an operator; providing sensor module to sense operation parameter of computer storage node to generate first detection signal and second detection signal following first detection signal; receiving first detection signal to control display panel of user interface device to display data pattern of first detection signal on display panel according to a time scale; using first portion of first detection signal corresponding to a partial pattern of the data pattern to generate reference signal when the operator uses user interface device to mark a region on display panel to select the partial pattern; receiving second detection signal sent from sensor module after the reference signal is generated; and comparing characteristics of reference signal with characteristics of second detection signal to perform behavior analysis operation.

Abstract: A wireless network system and a connection method for the wireless network are provided. A network device in the wireless network obtains the connecting route weights of a network base station and other network devices, the received signal strength indictor (RSSI) between the network device and the network base station, and the RSSIs between the network device and each of the other network devices. The network device obtains the routing decision values corresponding to the network base station and the other network devices and chooses the network base station or one of the other network devices corresponding to the highest routing decision value as the connection target. The network device can re-select its connection target according to environmental changes in the wireless network.

Abstract: A wireless network system and a connection method for the wireless network are provided. A network device in the wireless network obtains the connecting route weights of a network base station and other network devices, the received signal strength indictor (RSSI) between the network device and the network base station, and the RSSIs between the network device and each of the other network devices. The network device obtains the routing decision values corresponding to the network base station and the other network devices and chooses the network base station or one of the other network devices corresponding to the highest routing decision value as the connection target. The network device can re-select its connection target according to environmental changes in the wireless network.