Abstract: The disclosure relates to a road construction machine, in particular, a paving machine or a feeder. The road construction machine comprises a primary drive, an electric machine, a transmission, and at least one load connected to the transmission. The primary drive and the electric machine are also connected to the transmission, in particular, in a force-transmitting, power-transmitting, and/or energy-transmitting manner. The electric machine is configured to be operated as a generator and a motor. The disclosure further relates to a method for operating a road construction machine and the use of a parallel hybrid drive in a road construction machine.

Abstract: An electric vehicle having a charging interface device. The charging interface device is configured to charge a traction battery of the electric vehicle. The charging interface device includes a charging cradle, a charging socket disposed in the charging cradle, and lines formed between the charging socket and the traction battery, an AC line, and a DC line. The charging socket is configured to be integrated in the charging cradle, wherein at least the DC current line is mechanically connected to the charging cradle.

Abstract: Arrangements for estimation based just-in-time compiling are provided. First and second thresholds may be set by selecting a value of a corresponding cardinality flag. One or more cardinality estimates may be received for each operator of a query, including input, output, and intermediate estimated cardinalities. For each operator, a highest value of the one or more cardinality estimates may be determined. Based on the highest value being less than or equal to the first threshold, the query may be processed initially by an interpreter and subsequently by a compiler. Based on the highest value being between the first and second thresholds, the query may be processed by both by the compiler and the interpreter at the start. Based on the highest value being greater than or equal to the second threshold, the query may be processed initially by the compiler and use of the interpreter may be avoided.

Abstract: An application server provides an application to client devices. Users of the client devices interact with the application to perform a business process. Data regarding user interactions with the application is transmitted from the client devices to the application server. Based on an analysis of the received data, a bot generation server generates a bot to automate a process step. The bot generation server provides a heatmap user interface (UI) that provides information regarding the process steps. Using the heatmap UI, the administrator selects a process step for automation. In response to the selection, the bot generation server identifies, based on the observed behavior, relationships between input fields, typical values for input fields, typical order of data entry into input fields, or any suitable combination thereof. Based on the identified patterns, the bot generation server generates a bot to automate some or all of the process step.

Abstract: An application server provides an application to client devices. Users of the client devices interact with the application to perform a business process. Data regarding user interactions with the application is transmitted from the client devices to the application server. Based on an analysis of the received data, a bot generation server generates a bot to automate a process step. The bot generation server provides a heatmap user interface (UI) that provides information regarding the process steps. Using the heatmap UI, the administrator selects a process step for automation. In response to the selection, the hot generation server identifies, based on the observed behavior, relationships between input fields, typical values for input fields, typical order of data entry into input fields, or any suitable combination thereof. Based on the identified patterns, the hot generation server generates a bot to automate some or all of the process step.

Abstract: An application server provides an application to client devices. Users of the client devices interact with the application to perform a business process. Data regarding user interactions with the application is transmitted from the client devices to the application server. Based on an analysis of the received data, a bot generation server generates a bot to automate a process step. The bot generation server provides a heatmap user interface (UI) that provides information regarding the process steps. Using the heatmap UI, the administrator selects a process step for automation. In response to the selection, the bot generation server identifies, based on the observed behavior, relationships between input fields, typical values for input fields, typical order of data entry into input fields, or any suitable combination thereof. Based on the identified patterns, the bot generation server generates a bot to automate some or all of the process step.

Abstract: An application server provides an application to client devices. Users of the client devices interact with the application to perform a business process. Data regarding user interactions with the application is transmitted from the client devices to the application server. Based on an analysis of the received data, a bot generation server generates a bot to automate a process step. The bot generation server provides a heatmap user interface (UI) that provides information regarding the process steps. Using the heatmap UI, the administrator selects a process step for automation. In response to the selection, the bot generation server identifies, based on the observed behavior, relationships between input fields, typical values for input fields, typical order of data entry into input fields, or any suitable combination thereof. Based on the identified patterns, the bot generation server generates a bot to automate some or all of the process step.

Abstract: An application server provides an application to client devices. Users of the client devices interact with the application to perform a business process. Data regarding user interactions with the application is transmitted from the client devices to the application server. Based on an analysis of the received data, a bot generation server generates a bot to automate a process step. The bot generation server provides a heatmap user interface (UI) that provides information regarding the process steps. Using the heatmap UI, the administrator selects a process step for automation. In response to the selection, the bot generation server identifies, based on the observed behavior, relationships between input fields, typical values for input fields, typical order of data entry into input fields, or any suitable combination thereof. Based on the identified patterns, the bot generation server generates a bot to automate some or all of the process step.