Abstract: A method and apparatus is described in which a signal indicative of an operation of a energy source of a 3D printer during a second predetermined time period commencing with the end of a first predetermined time period is obtained, the first predetermined time period commencing with an activation of the energy source, wherein the energy source is active throughout the first and second time periods; the obtained signal is compared with a reference signal; and it is determined, based on the comparison, whether the energy source is operating according to predetermined characteristics.

Abstract: In example implementations, a powder level sensor is provided. The powder level sensor includes a capacitive sensor, a processor, and a cleaning mechanism. The processor is communicatively coupled to the capacitive sensor. The processor interprets a measurement of the capacitive sensor to detect a layer of residual build material on a surface of the powder level sensor. The cleaning mechanism may be communicatively coupled to the processor. The processor activates the cleaning mechanism to remove the layer of residual build material on the surface of the powder level sensor.

Abstract: In example implementations, a powder level sensor is provided. The powder level sensor includes a capacitive sensor, a processor, and a cleaning mechanism. The processor is communicatively coupled to the capacitive sensor. The processor interprets a measurement of the capacitive sensor to detect a layer of residual build material on a surface of the powder level sensor. The cleaning mechanism may be communicatively coupled to the processor. The processor activates the cleaning mechanism to remove the layer of residual build material on the surface of the powder level sensor.

Abstract: A method and apparatus is described in which a signal indicative of an operation of a energy source of a 3D printer during a second predetermined time period commencing with the end of a first predetermined time period is obtained, the first predetermined time period commencing with an activation of the energy source, wherein the energy source is active throughout the first and second time periods; the obtained signal is compared with a reference signal; and it is determined, based on the comparison, whether the energy source is operating according to predetermined characteristics.

Abstract: An embodiment of a system for optimizing operation of a mobile station in a wireless communication network such as a WLAN by adapting the physical (PHY), medium access control (MAC), and application settings of a mobile station therein includes a network status estimation module to evaluate the channel conditions of a wireless channel to serve the mobile station in terms of transmission failure probability due to noise and interference, respectively, a transmission characterization module to determine expected network performance as a function of the settings of PHY, MAC and application parameters in the current channel conditions as evaluated by the network status estimation module, a quality evaluation module to determine the expected quality of communication for the mobile station as a function of different channel performance metrics, and a quality maximization module to interact with the characterization and quality evaluation modules to identify and select the settings of PHY, MAC and application parame

Abstract: An embodiment of a system for physical link adaptation in a wireless communication network such as e.g., a WLAN, selectively varies the physical mode of operation of the transmission channels serving the mobile stations in the network. The system includes an estimation module to evaluate transmission losses due to collisions as well as transmission losses due to channel errors over the transmission channel, and an adaptation module to select the physical mode of operation of the transmission channel as a function of the transmission losses due to collisions and to channel errors as evaluated by the estimation module.

Abstract: An embodiment of a system for physical link adaptation in a wireless communication network such as e.g., a WLAN, selectively varies the physical mode of operation of the transmission channels serving the mobile stations in the network. The system includes an estimation module to evaluate transmission losses due to collisions as well as transmission losses due to channel errors over the transmission channel, and an adaptation module to select the physical mode of operation of the transmission channel as a function of the transmission losses due to collisions and to channel errors as evaluated by the estimation module.

Abstract: An embodiment of a system for physical link adaptation in a wireless communication network such as e.g., a WLAN, selectively varies the physical mode of operation of the transmission channels serving the mobile stations in the network. The system includes an estimation module to evaluate transmission losses due to collisions as well as transmission losses due to channel errors over the transmission channel, and an adaptation module to select the physical mode of operation of the transmission channel as a function of the transmission losses due to collisions and to channel errors as evaluated by the estimation module.

Abstract: An embodiment of a system for optimizing operation of a mobile station in a wireless communication network such as a WLAN by adapting the physical (PHY), medium access control (MAC), and application settings of a mobile station therein includes a network status estimation module to evaluate the channel conditions of a wireless channel to serve the mobile station in terms of transmission failure probability due to noise and interference, respectively, a transmission characterization module to determine expected network performance as a function of the settings of PHY, MAC and application parameters in the current channel conditions as evaluated by the network status estimation module, a quality evaluation module to determine the expected quality of communication for the mobile station as a function of different channel performance metrics, and a quality maximization module to interact with the characterization and quality evaluation modules to identify and select the settings of PHY, MAC and application parame