Abstract: A method and device of removing and recycling metals from a mixing acid solution, includes adsorbing a mixing acid solution with a pH value of ?1 to 4 and a cobalt ion concentration of 100 to 1,000 mg/L by at least two cation resins in series setting to the cobalt ion concentration in the mixing acid solution is less than 10 mg/L, and then adjusting the pH value of the mixing acid solution after adsorption to meet a discharge standard, wherein the particle size of the at least two cation resins in series setting is 150˜1,200 ?m. After the cation resins are saturated by adsorption, regenerating the cation resins by sulfuric acid to form a cobalt sulfate solution, and then electrolytically treating the cobalt sulfate solution to obtain electrolytic cobalt and sulfuric acid electrolyte. The operation process is simple without complicated equipment, and it can effectively recycle metals from mixing acid solutions.

Abstract: An electromagnetic stamping apparatus includes a work platform configured to load a work piece. A stamping component is coupled to the work platform and has a first position and a second position. The stamping component includes a stamping rod and a stamping head. The stamping head stamps the work piece on the first position. An electromagnetic device is coupled to the stamping rod and generates a magnetic force according to an alternating current to push the stamping component to the first position to make the stamping component stamp the work piece. A compression spring pushes the stamping component to the second position according to the restoring force of the compression spring. Wherein, the magnetic force is greater than the restoring force of the compression spring to make the stamping component stamp the work piece twice in every waveform period of the alternating current.

Abstract: A method for enhancing quality of media uses an AI enhancing model built-in the client device to enhance the quality of video streams. The AI enhance module is pre-trained by using a neural network in the server to analyze differences between the decoded images and the raw images that are generated by the server. Wherein, the AI enhance module enhances decoded images by using algorithms which are defined by analyzing differences between the decoded images and the raw images. Such that, the enhanced images are visually more similar to the raw images than the decoded images do.

Abstract: An electromagnetic stamping apparatus includes a work platform configured to load a work piece. A stamping component is coupled to the work platform and has a first position and a second position. The stamping component includes a stamping rod and a stamping head. The stamping head stamps the work piece on the first position. An electromagnetic device is coupled to the stamping rod and generates a magnetic force according to an alternating current to push the stamping component to the first position to make the stamping component stamp the work piece. A compression spring pushes the stamping component to the second position according to the restoring force of the compression spring. Wherein, the magnetic force is greater than the restoring force of the compression spring to make the stamping component stamp the work piece twice in every waveform period of the alternating current.

Abstract: A method for enhancing quality of media uses an AI enhancing model built-in the client device to enhance the quality of video streams. The AI enhance module is pre-trained by using a neural network in the server to analyze differences between the decoded images and the raw images that are generated by the server. Wherein, the AI enhance module enhances decoded images by using to algorithms which are defined by analyzing differences between the decoded images and the raw images. Such that, the enhanced images are visually more similar to the raw images than the decoded images do.

Abstract: A method for enhancing quality of media transmitted via network uses an AI enhancing model built-in the client device to enhance the quality of video streams received from network. The AI enhance module is pre-trained by using a neural network in the server to analyze differences between the decoded images and the raw images that are generated by the server. Wherein, the AI enhance module enhances decoded images by using algorithms which are defined by analyzing differences between the decoded images and the raw images that are generated by the server. Such that, the enhanced images are visually more similar to the raw images than the decoded images do.

Abstract: A method for enhancing quality of media transmitted via network uses an AI enhancing model built-in the client device to enhance the quality of video streams received from network. The AI enhance module is pre-trained by using a neural network in the server to analyze differences between the decoded images and the raw images that are generated by the server. Wherein, the AI enhance module enhances decoded images by using algorithms which are defined by analyzing differences between the decoded images and the raw images that are generated by the server. Such that, the enhanced images are visually more similar to the raw images than the decoded images do.

Abstract: A method for enhancing quality of media transmitted via network uses an AI enhancing model built-in the client device to enhance the quality of video streams received from network. The AI enhance module is pre-trained by using a neural network in the server to analyze differences between the decoded images and the raw images that are generated by the server. Wherein, the AI enhance module enhances decoded images by using algorithms which are defined by analyzing differences between the decoded images and the raw images that are generated by the server. Such that, the enhanced images are visually more similar to the raw images than the decoded images do.

Abstract: A handlebar includes a main body and two grip portions. The main body includes at least one extending portion extended away from the main body, and at least one through hole opened on the extending portion. The two grip portions are formed at opposite ends of the main body. The advantage of the handlebar is to omit the stem that can lighten the weight and reduce the wind resistance to make the riders safer and comfortable riding.

Abstract: Provided is a method of line-switching and connection for a connector with a combo port. The method is particularly adapted to the connector compatible with two or more link types. The method is to switch the wires to connect a specific link based on the detection of connector type. The step is firstly to initialize the system with the connector. A detecting circuit is configured to detect the type of connector which is plugged into the combo port. The detection covers the physical layer and protocol related to the plugged connector. An automatic switching process is then performed to establish a connection in compliance with the connector type chosen by a controller. In one embodiment, the connector with combo port particularly meets the requirements of connections to RJ-45 connector and RJ-11 connector. After the switching process, the adapted connection is implemented with required configurations.

Abstract: A method for wafer bumping includes the steps of spreading a layer of an electrically conductive paste on a surface having a plurality of electrical contacts and exposing a beam-paste interaction volume to a beam of energy to bond a portion of the layer of the electrically conductive paste to at least one of the plurality of electrical contacts for forming a wafer bump.